tomwalters@335: #!/bin/bash
tomwalters@335: # Copyright 2010 Thomas Walters <tom@acousticscale.org>
tomwalters@335: #
tomwalters@335: # Run a series of experiments which compare MFCC features generated by HTK to
tomwalters@335: # AIM features generated using AIM-C using a series of syllable recogntiton
tomwalters@335: # tasks.
tomwalters@335: # This script expects the HTK binaries and AIM-C AIMCopy binary to be present
tomwalters@335: # in the PATH.
tomwalters@335: 
tomwalters@335: # Set these to be the location of your input database, and desired output
tomwalters@335: # locations.
tomwalters@335: SYLLABLES_DATABASE_TAR=/media/sounds/cnbh-syllables.tar
tomwalters@335: SOUNDS_ROOT=/mnt/experiments/sounds/
tomwalters@335: FEATURES_ROOT=/mnt/experiments/features/
tomwalters@335: HMMS_ROOT=/mnt/experiments/hmms/
tomwalters@335: 
tomwalters@335: # Number of cores on the experimental machine. Various scripts will try to use
tomwalters@335: # this if it's set.
tomwalters@335: NUMBER_OF_CORES=2
tomwalters@335: 
tomwalters@335: # Fail if any command fails
tomwalters@335: set -e
tomwalters@335: 
tomwalters@335: # Fail if any variable is unset
tomwalters@335: set -u
tomwalters@335: 
tomwalters@335: if [ ! -d $SOUNDS_ROOT ]; then
tomwalters@335:   mkdir -p $SOUNDS_ROOT
tomwalters@335: fi
tomwalters@335: 
tomwalters@335: # Untar the CNBH syllables database, and convert the files from FLAC to WAV
tomwalters@335: if [ ! -e $SOUNDS_ROOT/.untar_db_success ]; then
tomwalters@335:   tar -x -C $SOUNDS_ROOT -f $SYLLABLES_DATABASE_TAR
tomwalters@335:   touch $SOUNDS_ROOT/.untar_db_success
tomwalters@335: fi
tomwalters@335: 
tomwalters@335: # Convert the database to .WAV format and place it in $SOUNDS_ROOT/clean
tomwalters@335: ./cnbh-syllables/convert_flac_to_wave.sh $SOUNDS_ROOT
tomwalters@335: 
tomwalters@335: # Generate versions of the CNBH syllables spoke pattern with a range of
tomwalters@335: # signal-to-noise ratios (SNRs). The versions are put in the directory
tomwalters@335: # ${SOUNDS_ROOT}/${SNR}_dB/ for each SNR in $SNRS.
tomwalters@335: SNRS="30 27 24 21 18 15 12 9 6 3 0"
tomwalters@335: ./cnbh-syllables/pink_noise.sh $SOUNDS_ROOT/clean/ $SNRS
tomwalters@335: 
tomwalters@335: # Make the list of all feature drectories
tomwalters@335: FEATURE_DIRS="clean"
tomwalters@335: for SNR in $SNRS; do
tomwalters@335:   FEATURE_DIRS="$FEATURE_DIRS snr_${SNR}dB"
tomwalters@335: done
tomwalters@335: 
tomwalters@335: # Generate feature sets (for the full range of SNRs in $FEATURE_DIRS)
tomwalters@335: # 1. Standard MFCC features
tomwalters@335: # 2. AIM features
tomwalters@335: # 3. MFCC features with optimal VTLN 
tomwalters@335: for SOURCE_SNR in $FEATURE_DIRS; do
tomwalters@335:   
tomwalters@335:   if [ ! -e $FEATURES_ROOT/mfcc/$SOURCE_SNR/.make_mfcc_features_success]
tomwalters@335:   then
tomwalters@335:     mkdir -p $FEATURES_ROOT/mfcc/$SOURCE_SNR/
tomwalters@335:     # Generate the list of files to convert
tomwalters@335:     ./cnbh-syllables/feature_generation/gen_hcopy_aimcopy_script.sh $FEATURES_ROOT/mfcc/$SOURCE_SNR/ $SOUNDS_ROOT/$SOURCE_SNR/
tomwalters@335:     # Run the conversion
tomwalters@335:     ./cnbh-syllables/feature_generation/run_hcopy.sh $FEATURES_ROOT/mfcc/$SOURCE_SNR/ $NUMBER_OF_CORES
tomwalters@335:     touch $FEATURES_ROOT/mfcc/$SOURCE_SNR/.make_mfcc_features_success
tomwalters@335:   done
tomwalters@335: 
tomwalters@335:   if [ ! -e $FEATURES_ROOT/mfcc_vtln/$SOURCE_SNR/.make_mfcc_vtln_features_success]
tomwalters@335:   then
tomwalters@335:     mkdir -p $FEATURES_ROOT/mfcc_vtln/$SOURCE_SNR/
tomwalters@335:     # Generate the file list and run the conversion (all one step, since this
tomwalters@335:     # version uses a different configuraiton for each talker)
tomwalters@335:     ./cnbh-syllables/feature_generation/run_mfcc_vtln_conversion.sh $FEATURES_ROOT/mfcc_vtln/$SOURCE_SNR/ $SOUNDS_ROOT/$SOURCE_SNR/
tomwalters@335:     touch $FEATURES_ROOT/mfcc_vtln/$SOURCE_SNR/.make_mfcc_vtln_features_success
tomwalters@335:   done
tomwalters@335: 
tomwalters@335:   if [ ! -e $FEATURES_ROOT/aim/$SOURCE_SNR/.make_aim_features_success]
tomwalters@335:   then
tomwalters@335:     mkdir -p $FEATURES_ROOT/aim/$SOURCE_SNR/ 
tomwalters@335:     ./cnbh-syllables/feature_generation/gen_hcopy_aimcopy_script.sh $FEATURES_ROOT/aim/$SOURCE_SNR/ $SOUNDS_ROOT/$SOURCE_SNR/
tomwalters@335:     # Run the conversion
tomwalters@335:     ./cnbh-syllables/feature_generation/run_aimcopy.sh $FEATURES_ROOT/aim/$SOURCE_SNR/ $NUMBER_OF_CORES
tomwalters@335:     touch $FEATURES_ROOT/aim/$SOURCE_SNR/.make_aim_features_success
tomwalters@335:   done
tomwalters@335: done 
tomwalters@335: 
tomwalters@335: # Now run a bunch of experiments.
tomwalters@335: # For each of the feature types, we want to run HMMs with a bunch of
tomwalters@335: # parameters.
tomwalters@335: TRAINING_ITERATIONS="0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20"
tomwalters@335: TESTING_ITERATIONS="1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20"
tomwalters@335: HMM_STATES="3 4 5 6 7 8"
tomwalters@335: HMM_OUTPUT_COMPONENTS=""
tomwalters@335: 
tomwalters@335: