Added Bentham handwriting recognition recipe

.gitignore

@@ -73,10 +73,10 @@ GSYMS
 /src/kaldi.mk.bak
 
 # /egs/
-/egs/*/s*/mfcc
-/egs/*/s*/plp
-/egs/*/s*/exp
-/egs/*/s*/data
+/egs/*/*/mfcc
+/egs/*/*/plp
+/egs/*/*/exp
+/egs/*/*/data
 
 # /tools/
 /tools/pocolm/

egs/bentham/README.txt

@@ -0,0 +1,5 @@
+This directory contains example scripts for handwriting recognition on
+the Bentham dataset:
+http://www.transcriptorium.eu/~htrcontest/contestICFHR2014/public_html/
+In the ICFHR 2014 contest, the best performing system in the unrestricted 
+track obtained a WER of 8.6%.

egs/bentham/v1/cmd.sh

@@ -0,0 +1,13 @@
+# 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 cmd="queue.pl"

egs/bentham/v1/image

@@ -0,0 +1 @@
+../../cifar/v1/image

egs/bentham/v1/local/chain/compare_wer.sh

@@ -0,0 +1,120 @@
+#!/bin/bash
+
+# this script is used for comparing decoding results between systems.
+# e.g. local/chain/compare_wer.sh exp/chain/cnn{1a,1b}
+
+# Copyright      2017  Chun Chieh Chang
+#                2017  Ashish Arora
+
+if [ $# == 0 ]; then
+  echo "Usage: $0: <dir1> [<dir2> ... ]"
+  echo "e.g.: $0 exp/chain/cnn{1a,1b}"
+  exit 1
+fi
+. ./path.sh
+
+echo "# $0 $*"
+used_epochs=false
+
+echo -n "# System                     "
+for x in $*; do   printf "% 10s" " $(basename $x)";   done
+echo
+
+echo -n "# WER                        "
+for x in $*; do
+  wer=$(cat $x/decode_test/scoring_kaldi/best_wer | awk '{print $2}')
+  printf "% 10s" $wer
+done
+echo
+
+echo -n "# WER (rescored)             "
+for x in $*; do
+  wer="--"
+  [ -d $x/decode_test_rescored ] && wer=$(cat $x/decode_test_rescored/scoring_kaldi/best_wer | awk '{print $2}')
+  printf "% 10s" $wer
+done
+echo
+
+echo -n "# CER                        "
+for x in $*; do
+  cer=$(cat $x/decode_test/scoring_kaldi/best_cer | awk '{print $2}')
+  printf "% 10s" $cer
+done
+echo
+
+echo -n "# CER (rescored)             "
+for x in $*; do
+  cer="--"
+  [ -d $x/decode_test_rescored ] && cer=$(cat $x/decode_test_rescored/scoring_kaldi/best_cer | awk '{print $2}')
+  printf "% 10s" $cer
+done
+echo
+
+echo -n "# WER val                    "
+for x in $*; do
+  wer=$(cat $x/decode_val/scoring_kaldi/best_wer | awk '{print $2}')
+  printf "% 10s" $wer
+done
+echo
+
+echo -n "# WER (rescored) val         "
+for x in $*; do
+  wer="--"
+  [ -d $x/decode_val_rescored ] && wer=$(cat $x/decode_val_rescored/scoring_kaldi/best_wer | awk '{print $2}')
+  printf "% 10s" $wer
+done
+echo
+
+echo -n "# CER val                    "
+for x in $*; do
+  cer=$(cat $x/decode_val/scoring_kaldi/best_cer | awk '{print $2}')
+  printf "% 10s" $cer
+done
+echo
+
+echo -n "# CER (rescored) val         "
+for x in $*; do
+  cer="--"
+  [ -d $x/decode_val_rescored ] && cer=$(cat $x/decode_val_rescored/scoring_kaldi/best_cer | awk '{print $2}')
+  printf "% 10s" $cer
+done
+echo
+
+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
+
+echo -n "# Parameters                 "
+for x in $*; do
+  params=$(nnet3-info $x/final.mdl 2>/dev/null | grep num-parameters | cut -d' ' -f2 | awk '{printf "%0.2fM\n",$1/1000000}')
+  printf "% 10s" $params
+done
+echo

egs/bentham/v1/local/chain/run_cnn_e2eali.sh

@@ -0,0 +1 @@
+tuning/run_cnn_e2eali_1a.sh

egs/bentham/v1/local/chain/run_e2e_cnn.sh

@@ -0,0 +1 @@
+tuning/run_e2e_cnn_1a.sh