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experiments.sh
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experiments.sh
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append_res () {
echo Calling $@
echo "###############################################" >> results.txt
echo Calling $@ >> results.txt
time $@ >> results.txt
echo "###############################################" >> results.txt
}
#baseline random forests
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -d 0.5,0.5 -p 100 -e 1000 -r 0.01 -l cnn -m -1 -s models/baseline_random_forests.pickle -t Prob01,Prob04,Prob14,Prob25 -b trees -bonly -hu 1000"
#append_res $mycmd
#baseline dnn
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -d 0.5,0.5 -p 100 -e 1000 -r 0.01 -l cnn -m -1 -s models/baseline_dnn.pickle -t Prob01,Prob04,Prob14,Prob25 -b dnn -bonly -hu 1000"
#append_res $mycmd
#baseline svm
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -d 0.5,0.5 -p 100 -e 1000 -r 0.01 -l cnn -m -1 -s models/baseline_svm.pickle -t Prob01,Prob04,Prob14,Prob25 -b svm -bonly -hu 1000"
#append_res $mycmd
#dnn
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/dnn_500_hidden.pickle -t Prob01,Prob04,Prob14,Prob25 -b none -hu 500 -l dnn -d 0.5,0.5 --use_linear_confidence -w 5"
#append_res $mycmd
#dnn
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/dnn_1000_hidden.pickle -t Prob01,Prob04,Prob14,Prob25 -b none -hu 1000 -l dnn -d 0.5,0.5 --use_linear_confidence -w 5"
append_res $mycmd
#cnn
mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/cnn_500_hidden.pickle -t Prob01,Prob04,Prob14,Prob25 -b none -hu 1000 -l cnn --use_linear_confidence"
append_res $mycmd
#cnn
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/cnn_1000_hidden.pickle -t Prob01,Prob04,Prob14,Prob25 -b none -hu 1000 -l cnn --use_linear_confidence"
#append_res $mycmd
#trees only
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/trees_only.pickle -t Prob01,Prob04,Prob14,Prob25 -b nond -hu 1000 -l trees --use_linear_confidence"
#append_res $mycmd
#trees sparse filtering
#mycmd="time python sequence_cnn.py -bdir /srv/data/speech/ComParE2015/eating_40fbank_8khz/wav/ -f corpus/eating_challenge_nodev/ -c No_Food,Banana,Crisp,Nectarine,Haribo,Apple,Biscuit -p 100 -e 1000 -r 0.01 -m -1 -s models/trees_on_sparse_filtering.pickle -t Prob01,Prob04,Prob14,Prob25 -b nond -hu 1000 -l trees --with-sparsefiltering --use_linear_confidence"
#append_res $mycmd