Mini librispeech example scripts

egs/librispeech/s5/local/data_prep.sh

@@ -33,7 +33,7 @@ utt2spk=$dst/utt2spk; [[ -f "$utt2spk" ]] && rm $utt2spk
 spk2gender=$dst/spk2gender; [[ -f $spk2gender ]] && rm $spk2gender
 utt2dur=$dst/utt2dur; [[ -f "$utt2dur" ]] && rm $utt2dur
 
-for reader_dir in $(find $src -mindepth 1 -maxdepth 1 -type d | sort); do
+for reader_dir in $(find -L $src -mindepth 1 -maxdepth 1 -type d | sort); do
   reader=$(basename $reader_dir)
   if ! [ $reader -eq $reader ]; then  # not integer.
     echo "$0: unexpected subdirectory name $reader"
@@ -53,7 +53,7 @@ for reader_dir in $(find $src -mindepth 1 -maxdepth 1 -type d | sort); do
       exit 1;
     fi
 
-    find $chapter_dir/ -iname "*.flac" | sort | xargs -I% basename % .flac | \
+    find -L $chapter_dir/ -iname "*.flac" | sort | xargs -I% basename % .flac | \
       awk -v "dir=$chapter_dir" '{printf "%s flac -c -d -s %s/%s.flac |\n", $0, dir, $0}' >>$wav_scp|| exit 1
 
     chapter_trans=$chapter_dir/${reader}-${chapter}.trans.txt

egs/mini_librispeech/s5/RESULTS

@@ -0,0 +1,22 @@
+#!/bin/bash
+
+for x in exp/*/decode*; do [ -d $x ] && [[ $x =~ "$1" ]] && grep WER $x/wer_* | utils/best_wer.sh; done
+
+for x in exp/chain/*/decode*; do [ -d $x ] && [[ $x =~ "$1" ]] && grep WER $x/wer_* | utils/best_wer.sh; done
+exit 0
+
+# Results on on dev_clean_2
+%WER 49.18 [ 9903 / 20138, 439 ins, 2332 del, 7132 sub ] exp/mono/decode_nosp_tgsmall_dev_clean_2/wer_8_0.0
+%WER 20.42 [ 4113 / 20138, 469 ins, 545 del, 3099 sub ] exp/tri1/decode_nosp_tglarge_dev_clean_2/wer_14_0.0
+%WER 24.56 [ 4945 / 20138, 447 ins, 792 del, 3706 sub ] exp/tri1/decode_nosp_tgmed_dev_clean_2/wer_14_0.0
+%WER 27.37 [ 5512 / 20138, 425 ins, 969 del, 4118 sub ] exp/tri1/decode_nosp_tgsmall_dev_clean_2/wer_14_0.0
+%WER 18.59 [ 3743 / 20138, 435 ins, 517 del, 2791 sub ] exp/tri2b/decode_nosp_tglarge_dev_clean_2/wer_15_0.0
+%WER 22.06 [ 4443 / 20138, 400 ins, 748 del, 3295 sub ] exp/tri2b/decode_nosp_tgmed_dev_clean_2/wer_15_0.0
+%WER 24.32 [ 4898 / 20138, 413 ins, 899 del, 3586 sub ] exp/tri2b/decode_nosp_tgsmall_dev_clean_2/wer_15_0.0
+%WER 13.45 [ 2708 / 20138, 358 ins, 330 del, 2020 sub ] exp/tri3b/decode_nosp_tglarge_dev_clean_2/wer_17_0.0
+%WER 16.25 [ 3273 / 20138, 332 ins, 485 del, 2456 sub ] exp/tri3b/decode_nosp_tgmed_dev_clean_2/wer_16_0.0
+%WER 18.10 [ 3645 / 20138, 332 ins, 603 del, 2710 sub ] exp/tri3b/decode_nosp_tgsmall_dev_clean_2/wer_16_0.0
+
+
+%WER 18.58 [ 3742 / 20138, 366 ins, 763 del, 2613 sub ] exp/chain/tdnn1a_sp/decode_tgsmall_dev_clean_2/wer_10_0.0
+%WER 13.35 [ 2689 / 20138, 318 ins, 491 del, 1880 sub ] exp/chain/tdnn1a_sp/decode_tglarge_dev_clean_2/wer_9_0.5

egs/mini_librispeech/s5/cmd.sh

@@ -0,0 +1,15 @@
+# you can change cmd.sh depending on what type of queue you are using.
+# If you have no queueing system and want to run on a local machine, you
+# can change all instances 'queue.pl' to run.pl (but be careful and run
+# commands one by one: most recipes will exhaust the memory on your
+# machine).  queue.pl works with GridEngine (qsub).  slurm.pl works
+# with slurm.  Different queues are configured differently, with different
+# queue names and different ways of specifying things like memory;
+# to account for these differences you can create and edit the file
+# conf/queue.conf to match your queue's configuration.  Search for
+# conf/queue.conf in http://kaldi-asr.org/doc/queue.html for more information,
+# or search for the string 'default_config' in utils/queue.pl or utils/slurm.pl.
+
+export train_cmd="queue.pl --mem 2G"
+export decode_cmd="queue.pl --mem 4G"
+export mkgraph_cmd="queue.pl --mem 8G"

egs/mini_librispeech/s5/conf/mfcc.conf

@@ -0,0 +1 @@
+--use-energy=false   # only non-default option.

egs/mini_librispeech/s5/conf/mfcc_hires.conf

@@ -0,0 +1,10 @@
+# config for high-resolution MFCC features, intended for neural network training
+# Note: we keep all cepstra, so it has the same info as filterbank features,
+# but MFCC is more easily compressible (because less correlated) which is why 
+# we prefer this method.
+--use-energy=false   # use average of log energy, not energy.
+--num-mel-bins=40     # similar to Google's setup.
+--num-ceps=40     # there is no dimensionality reduction.
+--low-freq=20     # low cutoff frequency for mel bins... this is high-bandwidth data, so
+                  # there might be some information at the low end.
+--high-freq=-400 # high cutoff frequently, relative to Nyquist of 8000 (=7600) 

egs/mini_librispeech/s5/conf/online_cmvn.conf

@@ -0,0 +1 @@
+# configuration file for apply-cmvn-online, used in the script ../local/run_online_decoding.sh

egs/mini_librispeech/s5/local/chain/compare_wer.sh

@@ -0,0 +1,131 @@
+#!/bin/bash
+
+# this script is used for comparing decoding results between systems.
+# e.g. local/chain/compare_wer.sh exp/chain/tdnn_{c,d}_sp
+# For use with discriminatively trained systems you specify the epochs after a colon:
+# for instance,
+# local/chain/compare_wer.sh exp/chain/tdnn_c_sp exp/chain/tdnn_c_sp_smbr:{1,2,3}
+
+
+if [ $# == 0 ]; then
+  echo "Usage: $0: [--looped] [--online] <dir1> [<dir2> ... ]"
+  echo "e.g.: $0 exp/chain/tdnn_{b,c}_sp"
+  echo "or (with epoch numbers for discriminative training):"
+  echo "$0 exp/chain/tdnn_b_sp_disc:{1,2,3}"
+  exit 1
+fi
+
+echo "# $0 $*"
+
+include_looped=false
+if [ "$1" == "--looped" ]; then
+  include_looped=true
+  shift
+fi
+include_online=false
+if [ "$1" == "--online" ]; then
+  include_online=true
+  shift
+fi
+
+
+used_epochs=false
+
+# this function set_names is used to separate the epoch-related parts of the name
+# [for discriminative training] and the regular parts of the name.
+# If called with a colon-free directory name, like:
+#  set_names exp/chain/tdnn_lstm1e_sp_bi_smbr
+# it will set dir=exp/chain/tdnn_lstm1e_sp_bi_smbr and epoch_infix=""
+# If called with something like:
+#  set_names exp/chain/tdnn_d_sp_smbr:3
+# it will set dir=exp/chain/tdnn_d_sp_smbr and epoch_infix="_epoch3"
+
+
+set_names() {
+  if [ $# != 1 ]; then
+    echo "compare_wer_general.sh: internal error"
+    exit 1  # exit the program
+  fi
+  dirname=$(echo $1 | cut -d: -f1)
+  epoch=$(echo $1 | cut -s -d: -f2)
+  if [ -z $epoch ]; then
+    epoch_infix=""
+  else
+    used_epochs=true
+    epoch_infix=_epoch${epoch}
+  fi
+}
+
+
+
+echo -n "# System               "
+for x in $*; do   printf "% 10s" " $(basename $x)";   done
+echo
+
+strings=(
+  "#WER dev_clean_2 (tgsmall) "
+  "#WER dev_clean_2 (tglarge) ")
+
+for n in 0 1; do
+   echo -n "${strings[$n]}"
+   for x in $*; do
+     set_names $x  # sets $dirname and $epoch_infix
+    decode_names=(tgsmall_dev_clean_2 tglarge_dev_clean_2)
+
+     wer=$(cat $dirname/decode_${decode_names[$n]}/wer_* | utils/best_wer.sh | awk '{print $2}')
+     printf "% 10s" $wer
+   done
+   echo
+   if $include_looped; then
+     echo -n "#             [looped:]    "
+     for x in $*; do
+       set_names $x  # sets $dirname and $epoch_infix
+       wer=$(cat $dirname/decode_looped_${decode_names[$n]}/wer_* | utils/best_wer.sh | awk '{print $2}')
+       printf "% 10s" $wer
+     done
+     echo
+   fi
+   if $include_online; then
+     echo -n "#             [online:]    "
+     for x in $*; do
+       set_names $x  # sets $dirname and $epoch_infix
+       wer=$(cat ${dirname}_online/decode_${decode_names[$n]}/wer_* | utils/best_wer.sh | awk '{print $2}')
+       printf "% 10s" $wer
+     done
+     echo
+   fi
+done
+
+
+if $used_epochs; then
+  exit 0;  # the diagnostics aren't comparable between regular and discriminatively trained systems.
+fi
+
+
+echo -n "# Final train prob     "
+for x in $*; do
+  prob=$(grep Overall $x/log/compute_prob_train.final.log | grep -v xent | awk '{printf("%.4f", $8)}')
+  printf "% 10s" $prob
+done
+echo
+
+echo -n "# Final valid prob     "
+for x in $*; do
+  prob=$(grep Overall $x/log/compute_prob_valid.final.log | grep -v xent | awk '{printf("%.4f", $8)}')
+  printf "% 10s" $prob
+done
+echo
+
+echo -n "# Final train prob (xent)"
+for x in $*; do
+  prob=$(grep Overall $x/log/compute_prob_train.final.log | grep -w xent | awk '{printf("%.4f", $8)}')
+  printf "% 10s" $prob
+done
+echo
+
+echo -n "# Final valid prob (xent)"
+for x in $*; do
+  prob=$(grep Overall $x/log/compute_prob_valid.final.log | grep -w xent | awk '{printf("%.4f", $8)}')
+  printf "% 10s" $prob
+done
+echo

egs/mini_librispeech/s5/local/chain/run_tdnn.sh

@@ -0,0 +1 @@
+tuning/run_tdnn_1a.sh