hesamsagha
33 linhas
1.5 KiB
Bash
Arquivo Executável
33 linhas
1.5 KiB
Bash
Arquivo Executável
#!/bin/bash
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# Arousal and valence prediction using bag-of-audio-words
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wavfile=$1 #'/media/sag/DATA/workPassau/Projects/MixedEmotions/Databases/Youtube_data_package/data/Audio/video1(00h00m27s-00h01m01s).wav'
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interval=0.04 # hop size
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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 "LLDval.csv" -l 1
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#java -jar openWord.jar -i LLDval.csv -o boaw.libsvm -a 20 -size 1000 -t 10.0 $interval -b bookValence &>/dev/null
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#./predict boaw.libsvm modelValence.svr valence.txt &>/dev/null
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NEW_UUID='LLD'$(date | md5sum | awk '{ print substr( $0, 1, 10 ) }')'a'
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./SMILExtract -C "mfcc_energy.conf" -logfile "smile.log" -I $wavfile -instname $wavfile -csvoutput ${NEW_UUID}.csv -l 1
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java -jar openXBOW.jar -i ${NEW_UUID}.csv -attributes nt1111111111111 -o boaw.libsvm -a 10 -norm 1 -b book &>/dev/null
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./predict boaw.libsvm modelValence.svr ${NEW_UUID}valence.txt &>/dev/null
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#cat valence.txt | awk '{ sum += $1; sum2+=$1*$1; n++ } END { if (n > 0) print sum/n , 1-((sum2/n)-(sum/n*sum/n))^.5; }' > Vres.txt
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input=${NEW_UUID}valence.txt
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i=1
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while read mean
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do
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# if [[ $std == *"nan"* ]]
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# then
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# std=1;
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# fi
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a=`awk "BEGIN{printf \"%.3f\",$mean}"`
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printf '{ "PROCESSOR":"OpenSMILE","ORIGIN":"boaw","TYPE":"regression","COMPONENT":"maxboaw2","VIDX":'$i',"VALUE":'$a',"PROB":[{"CONFIDENCE":1}]}\n'
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done < "$input"
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rm ${NEW_UUID}valence.txt ${NEW_UUID}.csv
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