Fusion module is added, bugs are resolved
Esse commit está contido em:
hesamsagha
@@ -31,6 +31,10 @@ To upload an audio/video file use curl:
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Linux: curl -v -H "Content-Type:multipart/form-data" --user meuser -i -X POST -F 'file=@./sample.wav' http://localhost:8888/er/aer/upload
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Moreover, this repository handles the fusion of audio and video outputs.
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See http://localhost:8888/er/general for more information
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Licenses:
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Arquivo executável
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#!/bin/bash
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export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
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NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'Agree.arff'
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#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
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./SMILExtract -C IS09_emotion_Agreeable.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
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res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Agreeable.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
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#| sed -r 's/^/class=/g'
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printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}\n'
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rm $NEW_UUID
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Arquivo executável
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@@ -0,0 +1,10 @@
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#!/bin/bash
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export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
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NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'Conc.arff'
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#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
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./SMILExtract -C IS09_emotion_Concious.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
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res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Concious.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
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#| sed -r 's/^/class=/g'
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printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}\n'
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rm $NEW_UUID
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Arquivo executável
+10
@@ -0,0 +1,10 @@
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#!/bin/bash
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export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
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NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'extro.arff'
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#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
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./SMILExtract -C IS09_emotion_Extroversion.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
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res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Extroversion.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
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#| sed -r 's/^/class=/g'
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printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}\n'
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rm $NEW_UUID
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Arquivo executável
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@@ -0,0 +1,10 @@
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#!/bin/bash
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export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
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NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'Neuro.arff'
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#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
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./SMILExtract -C IS09_emotion_Neuroticism.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
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res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Neuroticism.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
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#| sed -r 's/^/class=/g'
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printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}\n'
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rm $NEW_UUID
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Arquivo executável
+10
@@ -0,0 +1,10 @@
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#!/bin/bash
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export CLASSPATH=$CLASSPATH:/home/sag/Softwares/weka-3-8-0/weka.jar
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NEW_UUID=$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'Openness.arff'
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#NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 12 | head -n 1)'.arff'
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./SMILExtract -C IS09_emotion_Openness.conf -I $1 -l 0 -classlabel 0 -O $NEW_UUID
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res=$(java weka.classifiers.trees.RandomForest -T $NEW_UUID -l Openness.model -classifications weka.classifiers.evaluation.output.prediction.PlainText | grep 1 | tr -s ' ' | sed -r 's/^ //g' | cut -d' ' -f3)
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#| sed -r 's/^/class=/g'
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printf '{"PROCESSOR":"OpenSMILE","ORIGIN":"libsvm","TYPE":"regression","COMPONENT":"mysvmsink","VIDX":1,"VALUE":'$res',"PROB":[{"CONFIDENCE":1.00}]}\n'
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rm $NEW_UUID
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Diff do arquivo suprimido porque uma ou mais linhas são muito longas
@@ -1,15 +0,0 @@
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#!/bin/bash
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# Arousal and valence prediction using bag-of-audio-words
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wavfile=input.wav
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#./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
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./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
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java -jar openXBOW.jar -i LLD.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
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./predict boaw.libsvm modelArousal.svr arousal.txt &>/dev/null
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./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
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cat arousal.txt
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cat valence.txt
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Diff do arquivo suprimido porque uma ou mais linhas são muito longas
@@ -1,506 +0,0 @@
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solver_type L2R_L2LOSS_SVR_DUAL
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nr_class 2
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nr_feature 500
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bias 1
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w
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@@ -0,0 +1 @@
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0 1:-0.34517753 2:2.0749202 3:-0.99592125 4:-0.4431077 5:-0.88197553 6:-0.66126937 7:0.754436 8:2.9394367 9:-0.72986484 10:-0.2942551 11:-0.9713275 12:2.618671 13:-1.5124933 14:1.8104222 15:-0.8865274 16:-0.77162606 17:-0.7330219 18:-0.39175242 19:-0.60376745 20:2.9106364 21:2.5937617 22:1.8870362 23:-0.43924052 24:-0.6582055 25:-1.2403363 26:-0.8081747 27:-0.28780824 28:-2.8506162 29:-0.8175492 30:-0.32939097 31:1.8293487 32:-0.85812145 33:-0.4440836 34:2.2667632 35:0.27348027 36:-0.8510149 37:-0.27094075 38:-0.5574155 39:0.36230478 40:-0.90953606 41:-2.1332486 42:-0.3502525 43:-0.74302614 44:4.570176 45:-0.42849442 46:-0.4943925 47:-0.4381088 48:-0.6475775 49:4.780079 50:-0.6157594 51:-0.64664024 52:4.989372 53:-2.3562455 54:-1.5040371 55:-0.4386637 56:3.6696732 57:2.409044 58:-0.84506714 59:-0.25284523 60:-0.77941716 61:-0.70293236 62:-0.4786699 63:-1.3195107 64:0.14738114 65:-0.8036119 66:-0.89895767 67:1.604048 68:0.4249838 69:-1.0154834 70:-0.35182965 71:1.4641689 72:-1.6776837 73:-0.60274273 74:1.333154 75:-0.5662595 76:-0.75986755 77:-0.9031027 78:-1.3099152 79:-0.48431665 80:-0.7490976 81:1.9169147 82:-1.013815 83:-0.73489773 84:-0.73589426 85:-0.34527126 86:-1.8815866 87:-0.85464233 88:-1.1705755 89:-0.54858303 90:-0.38767383 91:1.054287 92:-0.09178605 93:2.3882782 94:0.2315529 95:-0.54724306 96:-0.37196854 97:-0.083494134 98:-1.0575668 99:-0.58600456 100:1.3818223 101:2.7519999 102:-1.484115 103:-0.4919842 104:-0.51755303 105:-0.9400303 106:2.4025445 107:1.7464274 108:2.2716765 109:1.377426 110:-0.8197171 111:1.2974626 112:-0.08389849 113:12.402488 114:-0.5140228 115:1.2268296 116:0.92730165 117:-0.31505725 118:-1.2780485 119:-0.75698155 120:-0.4569731 121:5.1690445 122:-0.72419006 123:-0.534283 124:-1.3190423 125:-1.0335346 126:-0.12024701 127:-0.612804 128:2.0649838 129:3.9171593 130:-1.0226794 131:-1.5247961 132:-0.79242635 133:-0.6672235 134:-0.9887412 135:-0.60328364 136:4.0442214 137:-0.5084914 138:5.616796 139:-1.1988448 140:-0.8068602 141:-0.3401983 142:1.4988986 143:0.7175207 144:-0.34621304 145:0.73994434 146:-0.2598736 147:-0.9878281 148:-0.48311335 149:-0.9903046 150:2.121172 151:-1.4036629 152:-0.6540748 153:-0.9959018 154:6.9594264 155:-0.18409805 156:3.820958 157:-0.53724873 158:1.6452526 159:4.483061 160:0.00723794 161:-0.6125529 162:-0.5760454 163:2.1318605 164:-0.90333796 165:8.80295 166:3.8620973 167:-0.2768712 168:2.2445502 169:-0.43832207 170:1.6644027 171:-2.5373776 172:-0.13884331 173:-0.7104944 174:-0.40286747 175:6.870797 176:1.3002979 177:0.51952237 178:-0.302259 179:-0.63369006 180:-0.71021426 181:-1.651373 182:6.4715834 183:-1.442511 184:-0.90164995 185:2.329677 186:4.0137196 187:6.246051 188:-1.5500207 189:-0.19884104 190:2.0527818 191:-0.38526452 192:-0.035258595 193:0.019915255 194:-0.8840986 195:-0.68939364 196:1.2665584 197:-0.7926631 198:-0.93456525 199:0.31475562 200:2.852223
|
||||
@@ -0,0 +1,23 @@
|
||||
#!/bin/bash
|
||||
# Arousal and valence prediction using bag-of-audio-words
|
||||
# January 2017, Chair of Complex and Intelligent Systems, University of Passau
|
||||
|
||||
wavfile=../m2_W.wav
|
||||
|
||||
#Linux
|
||||
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
|
||||
#Windows
|
||||
#./SMILExtract.exe -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput "LLD.csv" -l 1
|
||||
|
||||
java -jar openXBOW.jar -i LLD.csv -attributes nt1[13] -o boaw.libsvm -norm 1 -b codebook &>/dev/null
|
||||
./predict boaw.libsvm modelArousal.svr arousal.txt &>/dev/null
|
||||
./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
|
||||
|
||||
cat arousal.txt
|
||||
echo
|
||||
cat valence.txt
|
||||
|
||||
# Training parameters
|
||||
# openXBOW: Codebook size 200, a=1
|
||||
#./train -s 12 -B 1 -c 1e-4 trainArousal.libsvm modelArousal.svr
|
||||
#./train -s 12 -B 1 -c 5e-4 trainValence.libsvm modelValence.svr
|
||||
@@ -0,0 +1,209 @@
|
||||
standardizeInput
|
||||
0.0;0.0;-2.7987442;12.835033;3.674167;0.88232374;-5.6133327;-4.454226;-7.2187877;-2.5061784;-3.8685186;-3.0415812;-4.39152;-2.3655393;17.290041;0.0
|
||||
0.0;0.0;16.946337;12.087008;12.555441;13.748904;14.514771;13.537267;13.433995;12.708553;13.900535;12.684247;12.162774;10.348725;3.733623;0.0
|
||||
log
|
||||
standardizeOutput
|
||||
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|
||||
1.296674;-1.6653779;0.07248804;-1.7428105;-1.0737232;-2.7765207;-1.9124222;-0.7861361;-0.24362476;0.27672094;-2.2350411;0.89036286;1.1432619
|
||||
0.73985684;-1.8370136;-3.6673622;-3.205946;0.06976229;0.39615014;-1.3176662;-0.40052778;-0.6352951;2.3359194;3.0625334;1.2074143;0.84211457
|
||||
1.8677509;-0.09276025;-1.7182031;0.31044862;0.671268;0.37035215;-0.15263213;-1.3045672;-0.60543144;0.57848793;-0.38195452;-0.37733564;1.4533631
|
||||
0.33470201;-0.21878308;-0.3417355;0.70606905;1.1837088;0.5984947;1.3652675;0.30147013;-1.2041962;-1.480013;0.55021113;3.3921704;-0.017406952
|
||||
0.22759116;1.5056651;0.99420196;0.2914026;-0.72292477;-1.5578444;-0.8032847;1.1230025;0.7511772;0.2883013;0.118326634;-0.20306276;0.13600452
|
||||
0.2029276;0.2013812;1.6410161;0.06714042;-1.0114722;-0.39338022;-0.21508512;-0.31322765;0.97110325;0.5040979;0.49765557;0.49284273;0.15827228
|
||||
0.5791636;1.0295142;-0.6146456;-1.0648168;-0.2776724;-0.13943318;-0.07082788;0.07475133;0.515764;0.283555;0.8878295;0.6395232;0.10016533
|
||||
1.82297;-1.0282646;-1.0217781;-1.2378081;-2.976744;-1.0283917;0.2593378;-1.2459201;-1.4284661;-1.5003468;-1.215587;-1.6398029;1.7465717
|
||||
0.6732082;1.9436625;1.5397326;1.1795896;0.63889945;1.5284979;1.4298054;-0.13759069;-0.77486235;-0.21525234;-0.025736552;-0.34148347;0.80362403
|
||||
1.3242397;-0.024796303;2.2587993;-1.9315404;-0.9484626;0.56666005;-1.4616643;0.7292228;0.03874093;-1.2584916;1.8681009;-2.85581;1.7611601
|
||||
-0.87294596;0.28312108;0.053043947;-0.4045523;-0.62799317;-1.0971464;-0.9258409;-1.4647883;-0.5490905;-0.28859615;-0.4764957;-0.81873274;-0.89369786
|
||||
-1.1378475;-1.0441315;-0.54120076;0.031319097;-0.35179868;0.14468549;0.75485826;-0.3585174;0.28954074;0.82617277;0.5048534;0.546149;-1.0696343
|
||||
0.08640665;-0.9468922;0.2276246;0.36650974;-0.5044728;-0.87467915;-0.9813836;1.2898216;0.2478677;1.7476308;2.1083488;0.21825893;0.6138216
|
||||
1.8219669;0.53595704;-1.5647899;-0.98093367;1.23865;-0.8020462;0.83949137;-1.123106;1.9851013;0.53469276;-1.8558365;0.24788623;1.5891131
|
||||
0.053841088;-0.320786;1.9522477;0.13782977;-2.6993117;-1.777461;-1.3867819;0.3075097;-0.083933406;-0.9433227;0.9664132;-0.21682966;-0.24416527
|
||||
-0.812953;-0.40758187;-0.52050465;-0.24911562;0.124123126;0.81084734;1.0489746;0.9900064;1.2622434;1.4338282;1.2229817;0.41772482;-1.0043116
|
||||
1.0212759;-1.2327859;0.6308861;-1.9587469;-0.9956627;-2.3183398;-0.9029713;0.45529205;-1.8619012;-1.990737;-0.7616461;0.88729197;1.3382092
|
||||
1.191509;0.0089283325;1.103114;1.7593762;-0.31597584;0.39360002;0.62397534;-1.746021;-1.1087949;0.20241116;1.4260168;-0.5904942;1.5159752
|
||||
-0.110332906;-1.2080144;-1.5289265;-0.30999973;0.13851625;-0.60430324;0.10047052;0.398805;-0.34715903;0.38669935;-0.07137722;-0.16763087;-0.3329906
|
||||
0.9675828;1.4262071;-0.5198451;-0.4934047;0.13198036;1.5696622;0.67620105;-1.1776826;-0.7671612;0.0737015;1.2930397;1.3247458;1.137383
|
||||
0.75192565;-1.2369527;1.4788572;-0.73794043;-2.8795974;-2.178721;-1.6021125;-1.4503965;0.68612677;-1.4641215;-1.854452;-0.15216084;0.98562664
|
||||
-1.134818;-1.8777838;-1.170908;-0.03414019;1.2321382;1.6350883;2.0129802;0.96648884;0.09520854;-1.0746589;-0.43800336;0.70321196;-1.4747422
|
||||
0.17268097;-0.71408796;-1.4577167;-0.4986417;0.585693;0.3532594;-0.3546065;-0.4207776;-0.39610806;-0.6539339;-1.0377008;-0.16465919;-0.42276126
|
||||
-0.61632884;-1.1701595;-1.5317732;-0.15108424;1.1485556;1.2080123;0.7957783;0.2477254;0.48489377;-0.14530209;-0.6942191;-0.81511873;-0.67035717
|
||||
0.031571854;2.661482;-0.26242658;0.95973516;-0.32835016;0.4528133;-1.3810881;-0.9806011;-0.8125674;-1.3132234;1.3168608;-0.4359834;1.1800038
|
||||
-1.0668657;-0.9097269;-0.30811405;0.27159774;0.24838307;0.1676433;0.3710921;0.4412579;0.7642602;0.31467494;1.2964287;0.7304177;-0.73556197
|
||||
-0.39058748;0.6237578;0.25498596;-0.088546865;-0.5599639;-0.15286742;0.28773433;0.4401211;0.7309398;0.61614203;0.76458114;1.1653438;-0.43116868
|
||||
-0.8106587;-0.10886674;0.06889611;0.5981435;0.44698426;1.0646858;2.2839057;0.84215635;0.6744452;0.57069355;0.6883991;0.26645356;-0.5008463
|
||||
1.8333368;-0.050414752;-2.3103042;-2.8695366;0.14154524;0.21503654;-2.5401075;-0.3934162;-2.177923;-0.8898832;-1.2506449;-0.9887518;1.6638311
|
||||
0.70567447;0.4402245;-0.4879074;-0.625186;-0.7199526;-0.32343176;-0.24840651;1.2247128;2.2007346;1.860324;-0.8153329;-3.0018182;-0.16050115
|
||||
0.93295944;-0.26788476;2.0582895;-0.2118746;-0.481149;-0.9420671;0.13245745;0.33969826;-0.31656975;-2.1266408;0.2098707;-3.2546782;1.4146844
|
||||
-0.49684697;-0.39744553;0.22754669;1.5526537;2.9725137;0.91388774;-0.11309787;1.2062898;0.9125123;1.6139895;-0.34301114;-1.769299;0.5932279
|
||||
2.0922318;-1.7070374;-2.4967563;0.14817189;0.44435084;0.095123775;0.32107973;-0.19698668;0.1182988;-0.5288898;-1.7084574;-0.65205014;0.8194182
|
||||
1.2307441;-0.46024388;-2.5752003;-0.14959286;0.8733533;0.64548063;-1.6457957;0.968846;-0.69201595;-1.9634497;0.63616055;-2.681515;0.7961221
|
||||
2.0183227;0.6899174;-0.5326045;0.23758514;0.2801803;1.873903;0.9889701;-1.1241926;0.38773173;1.4194158;0.03759019;-1.3993056;1.4973923
|
||||
1.3018775;1.3590374;2.0319471;0.06151452;-1.4626656;-0.3071113;-0.97729164;-0.9927787;-2.4810255;-1.0123186;0.52768856;-1.119536;1.8321157
|
||||
0.18939601;1.2873008;-0.11053278;-0.23941375;-0.5292889;-0.55421853;-0.6490975;-1.09841;-0.28422448;-0.20550184;0.8226378;0.2756935;-0.07850293
|
||||
-0.7414231;-1.0986197;2.8376608;0.3265621;-0.0804467;1.1920683;0.5355484;1.0376302;1.0376154;-0.17593919;-0.20535825;-0.7518105;0.46545386
|
||||
0.27128524;1.1893097;0.34606886;-0.23006465;-0.093863234;-0.72543323;0.09618871;0.42607522;1.2484015;0.7563791;-0.042013258;-0.5934038;-0.33763734
|
||||
0.14296979;1.5307623;1.8459831;1.707063;1.76871;1.0407017;1.421495;0.7100369;0.13210511;0.71637934;1.3931131;0.97912514;0.65401334
|
||||
0.10566185;-0.63268906;0.058670048;-1.5437626;-2.0782235;-1.2320459;0.13940059;-1.2640078;-2.0244467;-1.4819103;-1.1911197;-1.2133137;1.0724515
|
||||
0.5346149;-3.723533;-0.7794248;-2.8366976;-0.46256855;-1.1329026;-0.21448441;-0.31012204;-0.28050908;-1.6246845;-0.6858535;1.6382511;1.5719851
|
||||
1.7057742;-2.8829672;-1.1186383;-1.6898797;-1.5760715;0.5441794;-0.9251716;-0.16121422;0.3794151;-1.6014115;-1.9503397;-1.5030422;0.975034
|
||||
-0.038297344;0.8443153;0.562323;0.73273885;-0.45626056;-0.5600609;-1.1551949;-1.064798;-1.0086844;-0.8530312;-0.47246134;-0.4453862;-0.5349713
|
||||
0.72774404;-5.6401353;-0.04369779;-3.107816;0.0926241;-1.689297;-0.33181506;0.63292557;-4.0697875;-1.4770762;-2.403001;-1.4893178;1.5017769
|
||||
1.1388156;-1.6994393;-0.024423668;-1.0982151;-0.4986656;-1.5299178;-1.9304862;0.89427745;-0.20730335;-1.2723505;-1.0039569;-2.2081232;1.1394719
|
||||
1.3577409;-1.0317702;-2.1910923;-2.2211082;-1.2592989;-2.5338604;-2.4962614;-0.88608843;-0.7842512;-2.4261913;-0.2910059;1.9604714;1.5847877
|
||||
1.0096085;0.4732036;0.9290102;0.7272824;0.4261969;-0.90170825;-0.083014525;1.3899583;0.40169108;0.8487154;-0.49334383;-0.24255581;1.4358222
|
||||
-0.60174453;0.95340604;1.3782051;1.2183565;1.052625;1.0988928;0.29878598;0.17574452;-0.190985;-0.6259275;-0.78895086;-0.61807936;-0.8690355
|
||||
0.040138714;1.0524437;0.6902891;0.9047155;0.30585426;-0.64423746;-0.6485563;-0.112144046;-0.047418278;0.45042887;0.8111565;-0.35939518;-0.5336454
|
||||
1.7527903;-1.9922069;-1.6302731;-1.6891043;-1.0956292;-0.6784652;-0.6348084;1.5612286;-2.06131;-1.6697931;-1.9159495;-1.2126808;1.6446489
|
||||
0.023338797;-2.466058;2.2510147;-3.014927;-1.9742341;-2.173284;-1.0406429;0.1489436;-3.7831893;-0.5095922;-1.340108;-1.5890538;1.5365367
|
||||
0.89108247;0.28764004;0.43744338;2.3837664;1.1471074;-0.033190902;-0.4952773;-0.99720097;-0.9874291;-1.1553867;-0.38528252;-0.5514623;0.5250632
|
||||
-0.12514366;0.7468264;-0.2466861;-0.6353069;-0.7290991;-1.082524;-0.70180845;0.4167071;0.022559242;-1.075206;-0.8814206;-1.1914077;-0.82318985
|
||||
1.809527;0.062352598;0.9533144;0.335783;0.35459778;-0.5367947;-1.9656826;0.26073974;0.27311438;-0.12103759;0.8879676;-0.38164747;1.7534947
|
||||
-0.24401987;-1.0533841;-0.37177962;0.75120425;-0.8556343;1.1560632;0.65172905;1.3092755;-1.1186721;-9.8060984E-5;0.55029255;1.2427076;-0.008252389
|
||||
Arquivo binário não exibido.
+121
-121
@@ -1,121 +1,121 @@
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
///////// > openSMILE configuration file mfcc+log-energy < //////////////////
|
||||
///////// (c) audEERING UG (haftungsbeschränkt), //////////////////
|
||||
///////// All rights reserverd. //////////////////
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
[componentInstances:cComponentManager]
|
||||
instance[dataMemory].type=cDataMemory
|
||||
instance[waveIn].type=cWaveSource
|
||||
instance[frame].type=cFramer
|
||||
instance[pe].type=cVectorPreemphasis
|
||||
instance[window].type=cWindower
|
||||
|
||||
instance[fft1].type=cTransformFFT
|
||||
instance[fftmp1].type=cFFTmagphase
|
||||
instance[mspec].type=cMelspec
|
||||
instance[mfcc].type=cMfcc
|
||||
instance[energy].type=cEnergy
|
||||
instance[cat].type=cVectorConcat
|
||||
|
||||
instance[csvsink].type=cCsvSink
|
||||
nThreads=1
|
||||
printLevelStats=0
|
||||
|
||||
|
||||
[waveIn:cWaveSource]
|
||||
filename=\cm[inputfile(I){test.wav}:name of input file]
|
||||
writer.dmLevel=wave
|
||||
;buffersize=16000
|
||||
monoMixdown=1
|
||||
|
||||
[frame:cFramer]
|
||||
reader.dmLevel=wave
|
||||
writer.dmLevel=frames
|
||||
frameSize=0.025
|
||||
frameStep=0.010
|
||||
;frameCenterSpecial = left
|
||||
|
||||
[pe:cVectorPreemphasis]
|
||||
reader.dmLevel=frames
|
||||
writer.dmLevel=framespe
|
||||
k = 0.97
|
||||
de = 0
|
||||
|
||||
[window:cWindower]
|
||||
reader.dmLevel=framespe
|
||||
writer.dmLevel=winoutput
|
||||
winFunc = ham
|
||||
gain = 1.0
|
||||
|
||||
[fft1:cTransformFFT]
|
||||
reader.dmLevel=winoutput
|
||||
writer.dmLevel=fftc
|
||||
|
||||
[fftmp1:cFFTmagphase]
|
||||
reader.dmLevel=fftc
|
||||
writer.dmLevel=fft
|
||||
|
||||
[mspec:cMelspec]
|
||||
reader.dmLevel=fft
|
||||
writer.dmLevel=mspec
|
||||
htkcompatible = 1
|
||||
nBands = 26
|
||||
usePower = 1
|
||||
lofreq = 0
|
||||
hifreq = 8000
|
||||
|
||||
[mfcc:cMfcc]
|
||||
reader.dmLevel=mspec
|
||||
writer.dmLevel=mfcc
|
||||
writer.levelconf.growDyn=1
|
||||
writer.levelconf.isRb=0
|
||||
buffersize=1000
|
||||
firstMfcc = 1
|
||||
lastMfcc = 12
|
||||
htkcompatible = 1
|
||||
|
||||
[energy:cEnergy]
|
||||
reader.dmLevel=frames
|
||||
writer.dmLevel=energy
|
||||
writer.levelconf.growDyn=1
|
||||
writer.levelconf.isRb=0
|
||||
buffersize=1000
|
||||
htkcompatible=1
|
||||
|
||||
|
||||
[cat:cVectorConcat]
|
||||
reader.dmLevel=mfcc;energy
|
||||
writer.dmLevel=ft0
|
||||
copyInputName = 1
|
||||
processArrayFields = 0
|
||||
|
||||
#
|
||||
[delta:cDeltaRegression]
|
||||
reader.dmLevel=ft0
|
||||
writer.dmLevel=ft0de
|
||||
nameAppend = de
|
||||
copyInputName = 1
|
||||
noPostEOIprocessing = 0
|
||||
deltawin=2
|
||||
blocksize=1
|
||||
|
||||
#
|
||||
[accel:cDeltaRegression]
|
||||
reader.dmLevel=ft0de
|
||||
writer.dmLevel=ft0dede
|
||||
nameAppend = de
|
||||
copyInputName = 1
|
||||
noPostEOIprocessing = 0
|
||||
deltawin=2
|
||||
blocksize=1
|
||||
|
||||
|
||||
[csvsink:cCsvSink]
|
||||
reader.dmLevel = ft0
|
||||
filename=\cm[csvoutput{output.csv}:output csv file]
|
||||
timestamp = 1
|
||||
number = 0
|
||||
printHeader = 0
|
||||
instanceName=\cm[instname{file}:instance name]
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
///////// > openSMILE configuration file mfcc+log-energy < //////////////////
|
||||
///////// (c) audEERING UG (haftungsbeschränkt), //////////////////
|
||||
///////// All rights reserverd. //////////////////
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
[componentInstances:cComponentManager]
|
||||
instance[dataMemory].type=cDataMemory
|
||||
instance[waveIn].type=cWaveSource
|
||||
instance[frame].type=cFramer
|
||||
instance[pe].type=cVectorPreemphasis
|
||||
instance[window].type=cWindower
|
||||
|
||||
instance[fft1].type=cTransformFFT
|
||||
instance[fftmp1].type=cFFTmagphase
|
||||
instance[mspec].type=cMelspec
|
||||
instance[mfcc].type=cMfcc
|
||||
instance[energy].type=cEnergy
|
||||
instance[cat].type=cVectorConcat
|
||||
|
||||
instance[csvsink].type=cCsvSink
|
||||
nThreads=1
|
||||
printLevelStats=0
|
||||
|
||||
|
||||
[waveIn:cWaveSource]
|
||||
filename=\cm[inputfile(I){test.wav}:name of input file]
|
||||
writer.dmLevel=wave
|
||||
;buffersize=16000
|
||||
monoMixdown=1
|
||||
|
||||
[frame:cFramer]
|
||||
reader.dmLevel=wave
|
||||
writer.dmLevel=frames
|
||||
frameSize=0.025
|
||||
frameStep=0.010
|
||||
;frameCenterSpecial = left
|
||||
|
||||
[pe:cVectorPreemphasis]
|
||||
reader.dmLevel=frames
|
||||
writer.dmLevel=framespe
|
||||
k = 0.97
|
||||
de = 0
|
||||
|
||||
[window:cWindower]
|
||||
reader.dmLevel=framespe
|
||||
writer.dmLevel=winoutput
|
||||
winFunc = ham
|
||||
gain = 1.0
|
||||
|
||||
[fft1:cTransformFFT]
|
||||
reader.dmLevel=winoutput
|
||||
writer.dmLevel=fftc
|
||||
|
||||
[fftmp1:cFFTmagphase]
|
||||
reader.dmLevel=fftc
|
||||
writer.dmLevel=fft
|
||||
|
||||
[mspec:cMelspec]
|
||||
reader.dmLevel=fft
|
||||
writer.dmLevel=mspec
|
||||
htkcompatible = 1
|
||||
nBands = 26
|
||||
usePower = 1
|
||||
lofreq = 0
|
||||
hifreq = 8000
|
||||
|
||||
[mfcc:cMfcc]
|
||||
reader.dmLevel=mspec
|
||||
writer.dmLevel=mfcc
|
||||
writer.levelconf.growDyn=1
|
||||
writer.levelconf.isRb=0
|
||||
buffersize=1000
|
||||
firstMfcc = 1
|
||||
lastMfcc = 12
|
||||
htkcompatible = 1
|
||||
|
||||
[energy:cEnergy]
|
||||
reader.dmLevel=frames
|
||||
writer.dmLevel=energy
|
||||
writer.levelconf.growDyn=1
|
||||
writer.levelconf.isRb=0
|
||||
buffersize=1000
|
||||
htkcompatible=1
|
||||
|
||||
|
||||
[cat:cVectorConcat]
|
||||
reader.dmLevel=mfcc;energy
|
||||
writer.dmLevel=ft0
|
||||
copyInputName = 1
|
||||
processArrayFields = 0
|
||||
|
||||
#
|
||||
[delta:cDeltaRegression]
|
||||
reader.dmLevel=ft0
|
||||
writer.dmLevel=ft0de
|
||||
nameAppend = de
|
||||
copyInputName = 1
|
||||
noPostEOIprocessing = 0
|
||||
deltawin=2
|
||||
blocksize=1
|
||||
|
||||
#
|
||||
[accel:cDeltaRegression]
|
||||
reader.dmLevel=ft0de
|
||||
writer.dmLevel=ft0dede
|
||||
nameAppend = de
|
||||
copyInputName = 1
|
||||
noPostEOIprocessing = 0
|
||||
deltawin=2
|
||||
blocksize=1
|
||||
|
||||
|
||||
[csvsink:cCsvSink]
|
||||
reader.dmLevel = ft0
|
||||
filename=\cm[csvoutput{output.csv}:output csv file]
|
||||
timestamp = 1
|
||||
number = 0
|
||||
printHeader = 0
|
||||
instanceName=\cm[instname{file}:instance name]
|
||||
|
||||
@@ -0,0 +1,206 @@
|
||||
solver_type L2R_L2LOSS_SVR_DUAL
|
||||
nr_class 2
|
||||
nr_feature 200
|
||||
bias 1
|
||||
w
|
||||
0.001740867592282342
|
||||
-0.003178135681442163
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
-1.744483633705083e-005
|
||||
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|
||||
-0.003486544632683056
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -0,0 +1,206 @@
|
||||
solver_type L2R_L2LOSS_SVR_DUAL
|
||||
nr_class 2
|
||||
nr_feature 200
|
||||
bias 1
|
||||
w
|
||||
0.002049949471024581
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
-0.002850532536829589
|
||||
0.00708032066057641
|
||||
0.003482607057262967
|
||||
0.001693004735040621
|
||||
0.00508634987595656
|
||||
0.001501394635818281
|
||||
0.002238188240651586
|
||||
0.000220066107233172
|
||||
-0.001863040352226891
|
||||
0.004422475488092252
|
||||
0.002621429912117072
|
||||
0.001101039536769778
|
||||
0.003185879052708591
|
||||
0.007463744635883927
|
||||
0.04918633849243626
|
||||
Arquivo binário não exibido.
+11
-9
@@ -3,11 +3,15 @@ h:Print this help\n
|
||||
# IO
|
||||
i:Name/Path of an input (ARFF or CSV) file p containing feature vectors over time\n\
|
||||
The first feature must be a string or number which specifies all feature vectors which belong to one analysis window/instance.
|
||||
attributes:An optional string, specifying all input attributes (mandatory if multiple label): \n\
|
||||
n=name, t=time stamp, 0=text feature, [1-9]=numeric feature, c=class label/numeric label, r=remove attribute\n\
|
||||
Using different numbers for numeric features will create a separate codebook and bag for all features belonging to the same index.
|
||||
attributes:An optional string, specifying all input attributes (mandatory in case of multiple labels): \n\
|
||||
n=name, t=time stamp, 0=text feature, 1-9=numeric feature, c=class label/numeric label, r=remove attribute\n\
|
||||
Using different numbers for numeric features will create a separate codebook and bag for all features belonging to the same index.\n\
|
||||
The codebook index is followed by brackets [] specifying the number of consecutive input features belonging to this index.\n\
|
||||
Example: -attributes nt1[14]2[14]c\n\
|
||||
Input file with the structure: name,timestamp,28 numeric features split into two codebooks (14 features each) and one label.
|
||||
o:Name / Path of an output ARFF, CSV or LibSVM file p containing the bag-of-features representation.\n\
|
||||
The file format depends on the given file ending (*.arff, *.csv or *.libsvm).
|
||||
oi:Name / Path of an output CSV file p containing the word indexes.
|
||||
writeName:Output the id string/number in the output file (only ARFF & CSV).
|
||||
writeTimeStamp:Output the time stamp in the output file (only ARFF & CSV).
|
||||
l:CSV file p with the class labels for each analysis window/instance.\n\
|
||||
@@ -19,9 +23,8 @@ l:CSV file p with the class labels for each analysis window/instance.\n\
|
||||
# Preprocessing options
|
||||
t:Segment the input files with a windows size (segment width) of p1 seconds and a hop size (shift) of p2 seconds\n\
|
||||
If this option is used, the second column of the input file must be a time index (in seconds) of the current frame and \n\
|
||||
the (optional) labels file must have three columns (name; time; label). The time instances where labels are given must \n\
|
||||
fit with the given parameters.\n
|
||||
e:Remove all feature vectors from the input, where the activity (or energy) is below p2. Index p1 specifies the index of the activity feature - starting with 1.
|
||||
the (optional) labels file must have three columns (name; time; label).\n
|
||||
e:Remove all feature vectors from the input, where the activity (or energy) is below p2. Index p1 specifies the index of the activity attribute (first index: 1).
|
||||
standardizeInput:Standardize all numeric input features.\n\
|
||||
The parameters are stored in the codebook file (-B) and then used for standardization of test data (-b) in an online approach.
|
||||
normalizeInput:Normalize all numeric input features (min->max is normalized to 0->1).\n\
|
||||
@@ -57,11 +60,10 @@ nCharGram:N-character-gram (default: nCharGram=0)\n
|
||||
|
||||
# Assignment general
|
||||
log:Logarithmic term weighting 'lg(TF+1)' of the term frequency.\n\
|
||||
This parameter is transmitted in the codebook file. If a codebook is loaded the term weighting specified therein is taken.
|
||||
This parameter is stored in the codebook file (-B) and used when the respective codebook is loaded (-b).
|
||||
idf:Inverse document frequency transform: Multiply the term frequency (TF) with the logarithm of the ratio of the \n\
|
||||
total number of instances and the number of instances where the respective word is present.\n\
|
||||
This parameter and the idf weights are transmitted in the codebook file.\n\
|
||||
If a codebook is loaded the term weighting specified therein is taken.
|
||||
This parameter is stored in the codebook file (-B) and used when the respective codebook is loaded (-b).
|
||||
norm:Normalize the bag-of-features (3 options of normalization).\n\
|
||||
p=1: Divides the term frequencies (TF) by the number of input frames.\n\
|
||||
p=2: Divides the TF by the sum of all TFs.\n\
|
||||
@@ -12,7 +12,9 @@ interval=0.04 # hop size
|
||||
NEW_UUID='LLD'$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a'
|
||||
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput ${NEW_UUID}.csv -l 1
|
||||
|
||||
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
|
||||
#java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
|
||||
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1[13] -o boaw.libsvm -norm 1 -b codebook &>/dev/null
|
||||
|
||||
./predict boaw.libsvm modelArousal.svr ${NEW_UUID}arousal.txt &>/dev/null
|
||||
#cat valence.txt | awk '{ sum += $1; sum2+=$1*$1; n++ } END { if (n > 0) print sum/n , 1-((sum2/n)-(sum/n*sum/n))^.5; }' > Vres.txt
|
||||
|
||||
@@ -12,7 +12,9 @@ interval=0.04 # hop size
|
||||
NEW_UUID='LLD'$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a'
|
||||
./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput ${NEW_UUID}.csv -l 1
|
||||
|
||||
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
|
||||
#java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
|
||||
java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1[13] -o boaw.libsvm -norm 1 -b codebook &>/dev/null
|
||||
|
||||
./predict boaw.libsvm modelValence.svr ${NEW_UUID}valence.txt &>/dev/null
|
||||
#cat valence.txt | awk '{ sum += $1; sum2+=$1*$1; n++ } END { if (n > 0) print sum/n , 1-((sum2/n)-(sum/n*sum/n))^.5; }' > Vres.txt
|
||||
|
||||
+29
-16
@@ -1,64 +1,77 @@
|
||||
{
|
||||
"configs":[
|
||||
{
|
||||
"id":"arousal_dummy",
|
||||
"classifier":"opensmilesvm",
|
||||
"config":"IS09_full.conf",
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:arousal",
|
||||
"intype":"audio",
|
||||
},{
|
||||
"id":"valence_dummy",
|
||||
"classifier":"opensmilesvm",
|
||||
"config":"IS09_c_full.conf",
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:valence",
|
||||
"intype":"audio",
|
||||
},{
|
||||
"id":"arousal",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"run_command":"boaw_models/run_ars.sh",
|
||||
"onyxentity":"emovoc:arousal"
|
||||
"entry_name":"emotions",
|
||||
"@idjson":"",
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:arousal",
|
||||
"run_command":"boaw_models_v3/run_ars.sh",
|
||||
},{
|
||||
"id":"valence",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"run_command":"boaw_models/run_val.sh",
|
||||
"onyxentity":"emovoc:valence"
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:valence",
|
||||
"run_command":"boaw_models_v3/run_val.sh",
|
||||
},{
|
||||
"id":"gender",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/general/gender",
|
||||
"run_command":"RF_models/run_gender.sh",
|
||||
"onyxentity":"gender"
|
||||
},{
|
||||
"id":"age",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/general/age",
|
||||
"run_command":"RF_models/run_age.sh",
|
||||
"onyxentity":"age"
|
||||
},{
|
||||
"id":"big5a",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/Big-5/Agreeableness",
|
||||
"run_command":"RF_models/run_Agreeable.sh",
|
||||
"onyxentity":"Agreeableness"
|
||||
},{
|
||||
"id":"big5c",
|
||||
},{ "id":"big5c",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/Big-5/Concioustiousness",
|
||||
"run_command":"RF_models/run_Concious.sh",
|
||||
"onyxentity":"Concioustiousness"
|
||||
},{
|
||||
"id":"big5o",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/Big-5/Openness",
|
||||
"run_command":"RF_models/run_Openness.sh",
|
||||
"onyxentity":"Openness"
|
||||
},{
|
||||
"id":"big5e",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"entry":"traits/Big-5/Extroversion",
|
||||
"run_command":"RF_models/run_Extroversion.sh",
|
||||
"onyxentity":"Extroversion"
|
||||
},{
|
||||
"id":"big5n",
|
||||
"classifier":"bash",
|
||||
"intype":"audio",
|
||||
"run_command":"RF_models/run_Neuroticism.sh",
|
||||
"onyxentity":"Neuroticism"
|
||||
"entry":"traits/Big-5/Neutroticism",
|
||||
"run_command":"RF_models/run_Neuroticism.sh"
|
||||
},{
|
||||
"id":"sentiment",
|
||||
"classifier":"bash",
|
||||
"intype":"text",
|
||||
"run_command":"sentiment/sentiment_runner.sh",
|
||||
"onyxentity":"Sentiment"
|
||||
"entry":"sentiments/marl:polarityValue",
|
||||
"run_command":"sentiment/sentiment_runner.sh"
|
||||
}
|
||||
]}
|
||||
|
||||
@@ -0,0 +1,45 @@
|
||||
{
|
||||
"entries": [
|
||||
{
|
||||
"emotions": [{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.5,
|
||||
"pad:valence": 0.1
|
||||
}
|
||||
}],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=0,2"
|
||||
},
|
||||
{
|
||||
"emotions": [{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.4,
|
||||
"pad:valence": 0.2
|
||||
}
|
||||
}],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=4,6"
|
||||
},
|
||||
{
|
||||
"emotions": [{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.3,
|
||||
"pad:valence": 0.3
|
||||
}
|
||||
}],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=8,11"
|
||||
},
|
||||
{
|
||||
"emotions": [{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.2,
|
||||
"pad:valence": 0.4
|
||||
}
|
||||
}],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=12,13"
|
||||
}
|
||||
],
|
||||
"@type": "results",
|
||||
"@context": "http://senpy.cluster.gsi.dit.upm.es/api/contexts/Results.jsonld",
|
||||
"analysis": [
|
||||
"audioAnalysis_vad"
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,179 @@
|
||||
{
|
||||
"entries": [
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.5,
|
||||
"pad:valence": 0.1
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": -0.2,
|
||||
"pad:arousal": -0.4
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.04999999999999999,
|
||||
"pad:valence": -0.05
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=0.0,2.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": -0.2,
|
||||
"pad:arousal": -0.4
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": -0.4,
|
||||
"pad:valence": -0.2
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "shortTest.mp4:time=2.0,4.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.4,
|
||||
"pad:valence": 0.2
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": -0.2,
|
||||
"pad:arousal": -0.4
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0,
|
||||
"pad:valence": 0
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=4.0,5.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.4,
|
||||
"pad:valence": 0.2
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": -0.2,
|
||||
"pad:arousal": -0.4
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": 0.3,
|
||||
"pad:arousal": 0.2
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.06666666666666667,
|
||||
"pad:valence": 0.09999999999999999
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=5.0,6.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": 0.3,
|
||||
"pad:arousal": 0.2
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.2,
|
||||
"pad:valence": 0.3
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "shortTest.mp4:time=6.0,8.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.3,
|
||||
"pad:valence": 0.3
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": 0.3,
|
||||
"pad:arousal": 0.2
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.25,
|
||||
"pad:valence": 0.3
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=8.0,10.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.3,
|
||||
"pad:valence": 0.3
|
||||
}},
|
||||
{"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:pleasure": 0.3,
|
||||
"pad:arousal": 0.2
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.25,
|
||||
"pad:valence": 0.3
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=10.0,11.0"
|
||||
},
|
||||
{
|
||||
"emotions": [
|
||||
{"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.2,
|
||||
"pad:valence": 0.4
|
||||
}},
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"pad:arousal": 0.2,
|
||||
"pad:valence": 0.4
|
||||
},
|
||||
"@type": "emotion",
|
||||
"@id": "emotionVAfusion"
|
||||
}
|
||||
],
|
||||
"@id": "http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4:time=12.0,13.0"
|
||||
}
|
||||
],
|
||||
"@type": "results",
|
||||
"analysis": [
|
||||
"videoAnalysis_vad",
|
||||
"audioAnalysis_vad",
|
||||
"emotionVAfusion:http://mixedemotions.fim.uni-passau.de:8080/er/general/emotionVAfusion"
|
||||
],
|
||||
"@context": "http://senpy.cluster.gsi.dit.upm.es/api/contexts/Results.jsonld"
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"@context": "http://senpy.cluster.gsi.dit.upm.es/api/contexts/Results.jsonld",
|
||||
"@type": "results",
|
||||
"analysis": [
|
||||
"videoAnalysis_vad"
|
||||
],
|
||||
"entries": [
|
||||
{
|
||||
"@id": "shortTest.mp4:time=0.0,5.0",
|
||||
"emotions": [
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:arousal": -0.4,
|
||||
"pad:pleasure": -0.2
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"@id": "shortTest.mp4:time=5.0,10.0",
|
||||
"emotions": [
|
||||
{
|
||||
"onyx:hasEmotion": {
|
||||
"@type": "emotion",
|
||||
"pad:arousal": 0.2,
|
||||
"pad:pleasure": 0.3
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
{
|
||||
"@context": "http://senpy.cluster.gsi.dit.upm.es/api/contexts/Plugin.jsonld",
|
||||
"@id": "emotionVAfusion",
|
||||
"@type": "emotionFusion",
|
||||
"author": "@hesamsagha",
|
||||
"description": "A module that combines the results of audio and video outputs",
|
||||
"extra_params": [
|
||||
"audio": { "required": true},
|
||||
"video": { "required": true}
|
||||
],
|
||||
"is_activated": true,
|
||||
"maxEmotionValue": 1.0,
|
||||
"minEmotionValue": -1.0,
|
||||
"module": "fusion",
|
||||
"name": "fuse",
|
||||
"onyx:usesEmotionModel": "emoml:pad-dimensions",
|
||||
"requirements": {},
|
||||
"url": "https://github.com/MixedEmotions/up_emotions_audio",
|
||||
"version": "0.1"
|
||||
}
|
||||
@@ -0,0 +1,15 @@
|
||||
You have to set these parameters:
|
||||
getdims: desired dimentions separated by comma (arousal,valence,age,gender,big5O,big5C,big5E,big5A,big5N,sentiment)
|
||||
note that, to have sentiment, you should only have 'asr' (automatic speech recognition) in the 'timing' parameter.
|
||||
url:the url of the video/audio or the name of the uploaded file
|
||||
timing: start and end of the segments (in seconds). start1,end1;start2,end2, OR asr
|
||||
when you choose 'asr', the audio file is segmented for each spoken sentence (useful for sentiment recognition)
|
||||
|
||||
Example:
|
||||
http://mixedemotions.fim.uni-passau.de:8080/er/aer/getdims?dims=arousal,valence,gender,age,big5o,big5c,big5e,big5a,big5n&url=http://tv-download.dw.com/dwtv_video/flv/wikoe/wikoe20151114_wiruebli_sd_avc.mp4&timing=9,15;147,152
|
||||
|
||||
To upload an audio/video file use curl:
|
||||
Windows: curl -v -H \"Content-Type:multipart/form-data\" --user meuser -i -X POST -F \"file=@D:\\path\\to\\sample.wav\" http://mixedemotions.fim.uni-passau.de:8080/er/aer/upload
|
||||
Linux: curl -v -H \"Content-Type:multipart/form-data\" --user meuser -i -X POST -F 'file=@./sample.wav' http://mixedemotions.fim.uni-passau.de:8080/er/aer/upload
|
||||
|
||||
GUI interface: http://mixedemotions.fim.uni-passau.de:8080/er/FileUpload.html
|
||||
Arquivo binário não exibido.
Arquivo binário não exibido.
@@ -13,8 +13,24 @@
|
||||
</init-param>
|
||||
<load-on-startup>1</load-on-startup>
|
||||
</servlet>
|
||||
|
||||
<servlet>
|
||||
<servlet-name>Jersey REST Service Fusion</servlet-name>
|
||||
<servlet-class>org.glassfish.jersey.servlet.ServletContainer</servlet-class>
|
||||
<init-param>
|
||||
<param-name>javax.ws.rs.Application</param-name>
|
||||
<param-value>com.opensmile.maven.MyApplicationFusion</param-value>
|
||||
</init-param>
|
||||
<load-on-startup>1</load-on-startup>
|
||||
</servlet>
|
||||
|
||||
<servlet-mapping>
|
||||
<servlet-name>Jersey REST Service</servlet-name>
|
||||
<url-pattern>/aer/*</url-pattern>
|
||||
</servlet-mapping>
|
||||
|
||||
<servlet-mapping>
|
||||
<servlet-name>Jersey REST Service Fusion</servlet-name>
|
||||
<url-pattern>/general/*</url-pattern>
|
||||
</servlet-mapping>
|
||||
</web-app>
|
||||
@@ -27,7 +27,13 @@ function RecordAudio(stream, cfg) {
|
||||
return tmp; // returns an array of array containing data from various channels
|
||||
};
|
||||
|
||||
|
||||
/* this.start() = function() {
|
||||
recording = true;
|
||||
};
|
||||
|
||||
this.stop() = function() {
|
||||
recording = false;
|
||||
};*/
|
||||
}
|
||||
var recorder;
|
||||
function toggleRecording( e ) {
|
||||
@@ -35,13 +41,24 @@ function toggleRecording( e ) {
|
||||
alert("instop");
|
||||
recorder.stop();
|
||||
var recordedData = recorder.getData();
|
||||
e.classList.remove("recording");
|
||||
|
||||
e.classList.remove("recording");
|
||||
|
||||
// stop recording
|
||||
//audioRecorder.stop();
|
||||
//a/udioRecorder.getBuffers( gotBuffers );
|
||||
//saveAudio();
|
||||
|
||||
} else {
|
||||
recorder = new RecordAudio(userMedia);
|
||||
alert("started");
|
||||
recorder.start();
|
||||
e.classList.add("recording");
|
||||
|
||||
/*window.addEventListener('load', initAudio );
|
||||
|
||||
alert("I am here");
|
||||
if (!audioRecorder)
|
||||
return;
|
||||
audioRecorder.clear();
|
||||
audioRecorder.record();*/
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -17,17 +17,63 @@ package com.opensmile.maven;
|
||||
|
||||
import java.io.File;
|
||||
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONObject;
|
||||
|
||||
public abstract class Classifier {
|
||||
public String arg="";
|
||||
public logger logger_instance;
|
||||
String configFile = "";
|
||||
String onyxentity = "";
|
||||
public String entry = "";
|
||||
String intype="";
|
||||
public abstract boolean configure(JSONObject json);
|
||||
public abstract JSONObject classify(String inputString);
|
||||
public String getInType(){
|
||||
return intype;
|
||||
}
|
||||
|
||||
JSONObject createJsonEntry(String jsonpath,Object value){
|
||||
String[] paths = jsonpath.split("/");
|
||||
JSONObject jo = new JSONObject();
|
||||
jo.put(paths[paths.length-1], value);
|
||||
|
||||
for(int i=paths.length-2;i>=0;i--){
|
||||
if(paths[i].endsWith("]")){
|
||||
String id = paths[i].substring(paths[i].indexOf("[")+1,paths[i].length()-1);
|
||||
JSONArray ja = new JSONArray();
|
||||
jo.put("@id", id);
|
||||
ja.put(0,jo);
|
||||
JSONObject tempObj = new JSONObject();
|
||||
jo = tempObj.put(paths[i].substring(0, paths[i].indexOf("[")-1), ja);
|
||||
}
|
||||
else{
|
||||
JSONObject tempObj = new JSONObject();
|
||||
jo = tempObj.put(paths[i],jo);
|
||||
}
|
||||
}
|
||||
return jo;
|
||||
}
|
||||
}
|
||||
/* SAMPLE INPUT JSON CONF
|
||||
{
|
||||
"configs":[
|
||||
{
|
||||
"id":"arousal_dummy",
|
||||
"classifier":"opensmilesvm",
|
||||
"config":"IS09_full.conf",
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:arousal",
|
||||
"intype":"audio",
|
||||
},{
|
||||
"id":"valence_dummy",
|
||||
"classifier":"opensmilesvm",
|
||||
"config":"IS09_c_full.conf",
|
||||
"entry":"emotions[emotionVA]/onyx:hasEmotion/pad:valence",
|
||||
"intype":"audio",
|
||||
}]
|
||||
|
||||
SAMPLE OUTPUT JSON RESULTS
|
||||
{
|
||||
"emovoc:pleasure":" 1.00",
|
||||
"confidence":0.2
|
||||
}
|
||||
*/
|
||||
Diferenças do arquivo suprimidas por serem muito extensas
Carregar Diff
@@ -0,0 +1,232 @@
|
||||
package com.opensmile.maven;
|
||||
|
||||
import java.io.BufferedReader;
|
||||
import java.io.File;
|
||||
import java.io.FileInputStream;
|
||||
import java.io.FileNotFoundException;
|
||||
import java.io.FileOutputStream;
|
||||
import java.io.FileReader;
|
||||
import java.io.FilenameFilter;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.InputStreamReader;
|
||||
import java.io.OutputStream;
|
||||
import java.lang.annotation.Annotation;
|
||||
import java.lang.reflect.Array;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.nio.file.Files;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Calendar;
|
||||
import java.util.Collections;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.Set;
|
||||
import java.util.concurrent.CountDownLatch;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
|
||||
import javax.sound.sampled.AudioFormat;
|
||||
import javax.sound.sampled.AudioInputStream;
|
||||
import javax.sound.sampled.AudioSystem;
|
||||
import javax.sound.sampled.UnsupportedAudioFileException;
|
||||
import javax.ws.rs.Consumes;
|
||||
import javax.ws.rs.DefaultValue;
|
||||
import javax.ws.rs.GET;
|
||||
import javax.ws.rs.POST;
|
||||
import javax.ws.rs.Path;
|
||||
import javax.ws.rs.Produces;
|
||||
import javax.ws.rs.QueryParam;
|
||||
import javax.ws.rs.core.MediaType;
|
||||
import javax.ws.rs.core.Response;
|
||||
|
||||
import org.apache.catalina.ha.backend.CollectedInfo;
|
||||
import org.apache.tomcat.util.http.fileupload.IOUtils;
|
||||
import org.glassfish.jersey.media.multipart.FormDataContentDisposition;
|
||||
import org.glassfish.jersey.media.multipart.FormDataParam;
|
||||
import org.glassfish.jersey.server.ResourceConfig;
|
||||
import org.json.JSONArray;
|
||||
import org.json.JSONException;
|
||||
import org.json.JSONObject;
|
||||
|
||||
@Path("")
|
||||
public class FusionService extends ResourceConfig {
|
||||
logger logger_instance = new logger((new SimpleDateFormat("MM/dd/yyyy HH:mm:ss"))
|
||||
.format(Calendar.getInstance().getTime()).replace("/", "_").replace(":", "_").replace(" ", "_"));
|
||||
|
||||
@Path("/")
|
||||
@GET
|
||||
@Produces(MediaType.TEXT_PLAIN)
|
||||
public Response help() {
|
||||
String st = "Run this command to fuse the results of audio and video outpus: \n wget \"localhost:8080/er/general/fuse?video=`cat json_video_plain.txt`&audio=`cat json_audio_plain.txt`\""
|
||||
+ "\n In which the files should have the following entities. \n"
|
||||
+ "Note: keep ':time=start,end' in the \"@id\" section.\n\n"
|
||||
+ "---------------------------- json_audio_plain.txt -------------------------------\n";
|
||||
JSONObject jo = EmoRecService.loadJsonObject(paths.getVar("REST_OPENSMILE") + "/fusion/json_sample_audio.txt");
|
||||
st += jo.toString(4);
|
||||
st += "\n---------------------------- json_video_plain.txt -------------------------------\n";
|
||||
jo = EmoRecService.loadJsonObject(paths.getVar("REST_OPENSMILE") + "/fusion/json_sample_video.txt");
|
||||
st += jo.toString(4);
|
||||
st += "\n---------------------------- output -------------------------------\n";
|
||||
jo = EmoRecService.loadJsonObject(paths.getVar("REST_OPENSMILE") + "/fusion/json_sample_output.txt");
|
||||
st += jo.toString(4);
|
||||
|
||||
return Response.status(202).entity(st).build();/**/
|
||||
}
|
||||
|
||||
@Path("/fuse")
|
||||
@GET
|
||||
@Produces("application/json")
|
||||
// @Produces(MediaType.TEXT_PLAIN)
|
||||
public Response fuse(@QueryParam("audio") String in_audio, @QueryParam("video") String in_video,
|
||||
@QueryParam("text") String in_text) throws JSONException {
|
||||
|
||||
JSONObject audio = null;
|
||||
if (in_audio != null)
|
||||
audio = new JSONObject(in_audio);
|
||||
JSONObject video = null;
|
||||
if (in_video != null)
|
||||
video = new JSONObject(in_video);
|
||||
JSONArray ja_audio = audio.getJSONArray("entries");
|
||||
JSONArray ja_video = video.getJSONArray("entries");
|
||||
|
||||
ArrayList<Double> cutTime = getAllTimes(ja_audio);
|
||||
cutTime.addAll(getAllTimes(ja_video));
|
||||
|
||||
// removing duplicates
|
||||
Set<Double> hs = new HashSet<>();
|
||||
hs.addAll(cutTime);
|
||||
cutTime.clear();
|
||||
cutTime.addAll(hs);
|
||||
Collections.sort(cutTime);
|
||||
|
||||
JSONObject finalJson = new JSONObject();
|
||||
if (video.has("analysis")) {
|
||||
JSONArray ja = video.getJSONArray("analysis");
|
||||
for (int i = 0; i < ja.length(); i++)
|
||||
finalJson.append("analysis", ja.get(i));
|
||||
}
|
||||
|
||||
if (audio.has("analysis")) {
|
||||
JSONArray ja = audio.getJSONArray("analysis");
|
||||
for (int i = 0; i < ja.length(); i++)
|
||||
finalJson.append("analysis", ja.get(i));
|
||||
}
|
||||
finalJson.append("analysis", "emotionVAfusion");
|
||||
|
||||
if (audio.has("@context"))
|
||||
finalJson.put("@context", audio.get("@context"));
|
||||
else if (video.has("@context"))
|
||||
finalJson.put("@context", video.get("@context"));
|
||||
if (audio.has("@type"))
|
||||
finalJson.put("@type", audio.get("@type"));
|
||||
else if (video.has("@type"))
|
||||
finalJson.put("@type", video.get("@type"));
|
||||
|
||||
for (int i = 0; i < cutTime.size() - 1; i++) {
|
||||
JSONObject ent_aud = findEntry(ja_audio, cutTime.get(i), cutTime.get(i + 1));
|
||||
JSONObject ent_vid = findEntry(ja_video, cutTime.get(i), cutTime.get(i + 1));
|
||||
JSONObject ent_fus = null;
|
||||
if (ent_aud != null || ent_vid != null)
|
||||
ent_fus = fuse(ent_aud, ent_vid);
|
||||
else
|
||||
continue;
|
||||
String id = ent_fus.getString("@id").split(":time=")[0];
|
||||
ent_fus.put("@id", id + ":time=" + cutTime.get(i) + "," + cutTime.get(i + 1));
|
||||
finalJson.append("entries", ent_fus);
|
||||
}
|
||||
|
||||
return Response.status(200).entity(finalJson.toString(4)).build();
|
||||
|
||||
}
|
||||
|
||||
JSONObject fuse(JSONObject a, JSONObject b) {
|
||||
JSONObject fused = null;
|
||||
if (a == null)
|
||||
fused = new JSONObject(b.toString());
|
||||
else if (b == null)
|
||||
fused = new JSONObject(a.toString());
|
||||
else
|
||||
fused = new JSONObject(((JSONObject) EmoRecService.mergeJSONsFull(a, b)).toString());
|
||||
JSONArray emotions = fused.getJSONArray("emotions");
|
||||
double arousal = 0;
|
||||
int iArousal = 0;
|
||||
double valence = 0;
|
||||
int iValence = 0;
|
||||
for (int i = 0; i < emotions.length(); i++) {
|
||||
if (emotions.getJSONObject(i).has("onyx:hasEmotion"))
|
||||
if (emotions.getJSONObject(i).get("onyx:hasEmotion") instanceof JSONObject) {
|
||||
JSONObject jo = emotions.getJSONObject(i).getJSONObject("onyx:hasEmotion");
|
||||
if (jo.has("pad:arousal")) {
|
||||
iArousal++;
|
||||
arousal += jo.getDouble("pad:arousal");
|
||||
}
|
||||
if (jo.has("pad:valence")) {
|
||||
iValence++;
|
||||
valence += jo.getDouble("pad:valence");
|
||||
}
|
||||
if (jo.has("pad:pleasure")) {
|
||||
iValence++;
|
||||
valence += jo.getDouble("pad:pleasure");
|
||||
}
|
||||
}
|
||||
}
|
||||
arousal /= iArousal;
|
||||
valence /= iValence;
|
||||
|
||||
JSONObject f = new JSONObject();
|
||||
f.put("pad:arousal", arousal);
|
||||
f.put("pad:valence", valence);
|
||||
JSONObject finalFusion = new JSONObject();
|
||||
finalFusion.put("@type", "emotion");
|
||||
finalFusion.put("@id", "emotionVAfusion");
|
||||
finalFusion.put("onyx:hasEmotion", f);
|
||||
fused.append("emotions", finalFusion);
|
||||
return fused;
|
||||
|
||||
}
|
||||
|
||||
JSONObject findEntry(JSONArray ja, Double st, Double en) {
|
||||
for (int i = 0; i < ja.length(); i++) {
|
||||
double[] sten = getStartEnd(ja.getJSONObject(i));
|
||||
if (sten[0] >= st && sten[0] < en || sten[1] > st && sten[1] <= en || sten[0] <= st && sten[1] >= en)
|
||||
return ja.getJSONObject(i);
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
ArrayList<Double> getAllTimes(JSONArray ja) {
|
||||
ArrayList<Double> allTimes = new ArrayList<>();
|
||||
for (int i = 0; i < ja.length(); i++) {
|
||||
double[] sten = getStartEnd(ja.getJSONObject(i));
|
||||
if (sten != null) {
|
||||
allTimes.add(sten[0]);
|
||||
allTimes.add(sten[1]);
|
||||
}
|
||||
}
|
||||
return allTimes;
|
||||
}
|
||||
|
||||
double[] getStartEnd(JSONObject ent) {
|
||||
double[] sten = null;
|
||||
String id = ent.getString("@id");
|
||||
String[] sp = id.split(":time=");
|
||||
if (sp.length > 1) {
|
||||
String[] times = sp[1].split(",");
|
||||
sten = new double[2];
|
||||
sten[0] = Double.valueOf(times[0]);
|
||||
sten[1] = Double.valueOf(times[1]);
|
||||
}
|
||||
return sten;
|
||||
}
|
||||
|
||||
@Path("/emotionVAfusion")
|
||||
@GET
|
||||
@Produces(MediaType.TEXT_PLAIN)
|
||||
public Response emotionVAfusion() {
|
||||
JSONObject jo = EmoRecService.loadJsonObject(paths.getVar("REST_OPENSMILE") + "/general/emotionVAfusion.json");
|
||||
return Response.status(202).entity(jo.toString(4)).build();
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
package com.opensmile.maven;
|
||||
|
||||
import javax.ws.rs.ApplicationPath;
|
||||
import org.glassfish.jersey.media.multipart.MultiPartFeature;
|
||||
import org.glassfish.jersey.server.ResourceConfig;
|
||||
|
||||
@ApplicationPath("/")
|
||||
public class MyApplicationFusion extends ResourceConfig {
|
||||
public MyApplicationFusion(){
|
||||
super(FusionService.class,MultiPartFeature.class);
|
||||
}
|
||||
}
|
||||
@@ -28,7 +28,7 @@ public class bashClassifier extends Classifier {
|
||||
@Override
|
||||
public boolean configure(JSONObject json) {
|
||||
run_command = json.getString("run_command");
|
||||
onyxentity = json.getString("onyxentity");
|
||||
entry = json.getString("entry");
|
||||
intype = json.getString("intype");
|
||||
return true;
|
||||
}
|
||||
@@ -77,12 +77,10 @@ public class bashClassifier extends Classifier {
|
||||
switch((String)jo.get("TYPE")){
|
||||
case "regression":
|
||||
double out = jo.getDouble("VALUE");
|
||||
double conf = (double)(((JSONObject)jo.getJSONArray("PROB").get(0)).getDouble("CONFIDENCE"));
|
||||
jop.put(onyxentity, out);
|
||||
jop.put("confidence", conf);
|
||||
jop = createJsonEntry(entry, out);
|
||||
break;
|
||||
case "classification":
|
||||
jop.put(onyxentity, jo.getJSONArray("PROB"));
|
||||
jop = createJsonEntry(entry, jo.getJSONArray("PROB"));
|
||||
break;
|
||||
}
|
||||
return jop;
|
||||
|
||||
@@ -27,7 +27,7 @@ public class openSMILEclassifier extends Classifier {
|
||||
@Override
|
||||
public boolean configure(JSONObject jo) {
|
||||
configFile = jo.getString("config");
|
||||
onyxentity = jo.getString("onyxentity");
|
||||
entry = jo.getString("entry");
|
||||
intype = jo.getString("intype");
|
||||
return true;
|
||||
}
|
||||
@@ -61,11 +61,10 @@ public class openSMILEclassifier extends Classifier {
|
||||
case "regression":
|
||||
double out = jo.getDouble("VALUE");
|
||||
double conf = (double)((JSONObject)jo.getJSONArray("PROB").get(0)).get("CONFIDENCE");
|
||||
jop.put(onyxentity, out);
|
||||
jop.put("confidence", conf);
|
||||
jop = createJsonEntry(entry, out);
|
||||
break;
|
||||
case "classification":
|
||||
jop.put(onyxentity, jo.getJSONArray("PROB"));
|
||||
jop = createJsonEntry(entry, jo.getJSONArray("PROB"));
|
||||
break;
|
||||
}
|
||||
return jop;
|
||||
|
||||
@@ -29,6 +29,7 @@ public class paths {
|
||||
static String logFolder = getVar("REST_OPENSMILE") + "/logs/";
|
||||
static String SMILEconfig = "IS09_emotion_Mine_AR_res_4corpus_0_FE.conf";
|
||||
static String SMILEconfigAugmented = "IS09_emotion_Mine_AR_res_4corpus_0_FE_Augmented.conf";
|
||||
static String var_file = "/var/rest_vars";
|
||||
|
||||
static String getVar(String varname) {
|
||||
BufferedReader bufferedReader = null;
|
||||
|
||||
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