зеркало из https://github.com/mozilla/kaldi.git
trunk: adding pitch+online-nnet2 scripts for Librispeech, per user request (not tested yet).
git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4868 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
This commit is contained in:
Dan Povey
Родитель
9e294dc260
Коммит
a2893ea0eb
|
|
@ -0,0 +1,31 @@
|
|||
## This config is given by conf/make_pitch_online.sh to the program compute-and-process-kaldi-pitch-feats,
|
||||
## and is copied by steps/online/nnet2/prepare_online_decoding.sh and similar scripts, to be given
|
||||
## to programs like online2-wav-nnet2-latgen-faster.
|
||||
## The program compute-and-process-kaldi-pitch-feats will use it to compute pitch features that
|
||||
## are the same as that those which will generated in online decoding; this enables us to train
|
||||
## in a way that's compatible with online decoding.
|
||||
##
|
||||
|
||||
## most of these options relate to the post-processing rather than the pitch
|
||||
## extraction itself.
|
||||
--add-raw-log-pitch=true ## this is intended for input to neural nets, so our
|
||||
## approach is "throw everything in and see what
|
||||
## sticks".
|
||||
--normalization-left-context=75
|
||||
--normalization-right-context=50 # We're removing some of the right-context
|
||||
# for the normalization. Would normally be 75.
|
||||
#
|
||||
# Note: our changes to the (left,right) context
|
||||
# from the defaults of (75,75) to (75,50) will
|
||||
# almost certainly worsen results, but will
|
||||
# reduce latency.
|
||||
--frames-per-chunk=10 ## relates to offline simulation of online decoding; 1
|
||||
## would be equivalent to getting in samples one by
|
||||
## one.
|
||||
--simulate-first-pass-online=true ## this make the online-pitch-extraction code
|
||||
## output the 'first-pass' features, which
|
||||
## are less accurate than the final ones, and
|
||||
## which are the only features the neural-net
|
||||
## decoding would ever see (since we can't
|
||||
## afford to do lattice rescoring in the
|
||||
## neural-net code
|
||||
|
|
@ -0,0 +1,51 @@
|
|||
#!/bin/bash
|
||||
|
||||
# this script contains some common (shared) parts of the run_nnet*.sh scripts.
|
||||
|
||||
. cmd.sh
|
||||
|
||||
|
||||
stage=0
|
||||
|
||||
set -e
|
||||
. cmd.sh
|
||||
. ./path.sh
|
||||
. ./utils/parse_options.sh
|
||||
|
||||
|
||||
if [ $stage -le 1 ]; then
|
||||
# Create high-resolution MFCC features (with 40 cepstra instead of 13).
|
||||
# this shows how you can split across multiple file-systems. we'll split the
|
||||
# MFCC dir across multiple locations. You might want to be careful here, if you
|
||||
# have multiple copies of Kaldi checked out and run the same recipe, not to let
|
||||
# them overwrite each other.
|
||||
mfccdir=mfcc
|
||||
if [[ $(hostname -f) == *.clsp.jhu.edu ]] && [ ! -d $mfccdir/storage ]; then
|
||||
utils/create_split_dir.pl /export/b0{1,2,3,4}/$USER/kaldi-data/egs/librispeech-$(date +'%m_%d_%H_%M')/s5/$mfccdir/storage $mfccdir/storage
|
||||
fi
|
||||
|
||||
for datadir in train_960 dev_clean dev_other; do
|
||||
utils/copy_data_dir.sh data/$datadir data/${datadir}_hiresp
|
||||
steps/make_mfcc_pitch_online.sh --nj 150 --mfcc-config conf/mfcc_hires.conf \
|
||||
--online-pitch-config conf/online_pitch.conf \
|
||||
--cmd "$train_cmd" data/${datadir}_hiresp exp/make_hiresp/$datadir $mfccdir || exit 1;
|
||||
steps/compute_cmvn_stats.sh data/${datadir}_hiresp exp/make_hiresp/$datadir $mfccdir || exit 1;
|
||||
|
||||
# dump plain MFCC features by selecting MFCC-only part
|
||||
steps/select_feats.sh 0-39 data/${datadir}_hiresp data/${datadir}_hires exp/make_hires/$datadir $mfccdir || exit 1;
|
||||
steps/compute_cmvn_stats.sh data/${datadir}_hires exp/make_hires/$datadir $mfccdir || exit 1;
|
||||
done
|
||||
|
||||
# now create some data subsets.
|
||||
# mixed is the clean+other data.
|
||||
# 30k is 1/10 of the data (around 100 hours), 60k is 1/5th of it (around 200 hours).
|
||||
utils/subset_data_dir.sh data/train_960_hires 30000 data/train_mixed_hires_30k
|
||||
utils/subset_data_dir.sh data/train_960_hires 60000 data/train_mixed_hires_60k
|
||||
fi
|
||||
|
||||
# The stages where we build the iVector extractor are the same as the
|
||||
# non-pitch system, because the features given to the iVector extractor don't use pitch.
|
||||
steps/online/run_nnet2_common.sh --stage 2 || exit 1;
|
||||
|
||||
exit 0;
|
||||
|
||||
|
|
@ -0,0 +1,172 @@
|
|||
#!/bin/bash
|
||||
|
||||
# This is the "multi-splice" version of the online-nnet2 training script,
|
||||
# with pitch.
|
||||
# This hasn't been tested yet.
|
||||
|
||||
. cmd.sh
|
||||
|
||||
|
||||
stage=7
|
||||
train_stage=-10
|
||||
use_gpu=true
|
||||
dir=exp/nnet2_onlinep/nnet_ms_a
|
||||
|
||||
set -e
|
||||
. cmd.sh
|
||||
. ./path.sh
|
||||
. ./utils/parse_options.sh
|
||||
|
||||
|
||||
if $use_gpu; then
|
||||
if ! cuda-compiled; then
|
||||
cat <<EOF && exit 1
|
||||
This script is intended to be used with GPUs but you have not compiled Kaldi with CUDA
|
||||
If you want to use GPUs (and have them), go to src/, and configure and make on a machine
|
||||
where "nvcc" is installed. Otherwise, call this script with --use-gpu false
|
||||
EOF
|
||||
fi
|
||||
parallel_opts="-l gpu=1"
|
||||
num_threads=1
|
||||
minibatch_size=512
|
||||
|
||||
if [[ $(hostname -f) == *.clsp.jhu.edu ]]; then
|
||||
parallel_opts="$parallel_opts --config conf/queue_no_k20.conf --allow-k20 false"
|
||||
# that config is like the default config in the text of queue.pl, but adding the following lines.
|
||||
# default allow_k20=true
|
||||
# option allow_k20=true
|
||||
# option allow_k20=false -l 'hostname=!g01&!g02&!b06'
|
||||
# It's a workaround for an NVidia CUDA library bug for our currently installed version
|
||||
# of the CUDA toolkit, that only shows up on k20's
|
||||
fi
|
||||
# the _a is in case I want to change the parameters.
|
||||
else
|
||||
# Use 4 nnet jobs just like run_4d_gpu.sh so the results should be
|
||||
# almost the same, but this may be a little bit slow.
|
||||
num_threads=16
|
||||
minibatch_size=128
|
||||
parallel_opts="-pe smp $num_threads"
|
||||
fi
|
||||
|
||||
# do the common parts of the script.
|
||||
local/online/run_nnet2_common.sh --stage $stage
|
||||
|
||||
|
||||
if [ $stage -le 7 ]; then
|
||||
if [[ $(hostname -f) == *.clsp.jhu.edu ]] && [ ! -d $dir/egs/storage ]; then
|
||||
utils/create_split_dir.pl \
|
||||
/export/b0{3,4,5,6}/$USER/kaldi-data/egs/librispeech-$(date +'%m_%d_%H_%M')/s5/$dir/egs/storage $dir/egs/storage
|
||||
fi
|
||||
|
||||
# The size of the system is kept rather smaller than the run_7a_960.sh system:
|
||||
# this is because we want it to be small enough that we could plausibly run it
|
||||
# in real-time.
|
||||
steps/nnet2/train_multisplice_accel2.sh --stage $train_stage \
|
||||
--num-epochs 8 --num-jobs-initial 3 --num-jobs-final 18 \
|
||||
--num-hidden-layers 6 --splice-indexes "layer0/-2:-1:0:1:2 layer1/-1:2 layer3/-3:3 layer4/-7:2" \
|
||||
--feat-type raw \
|
||||
--online-ivector-dir exp/nnet2_online/ivectors_train_960_hires \
|
||||
--cmvn-opts "--norm-means=false --norm-vars=false" \
|
||||
--num-threads "$num_threads" \
|
||||
--minibatch-size "$minibatch_size" \
|
||||
--parallel-opts "$parallel_opts" \
|
||||
--io-opts "--max-jobs-run 12" \
|
||||
--initial-effective-lrate 0.0015 --final-effective-lrate 0.00015 \
|
||||
--cmd "$decode_cmd" \
|
||||
--pnorm-input-dim 3500 \
|
||||
--pnorm-output-dim 350 \
|
||||
--mix-up 12000 \
|
||||
data/train_960_hiresp data/lang exp/tri6b $dir || exit 1;
|
||||
fi
|
||||
|
||||
if [ $stage -le 8 ]; then
|
||||
# dump iVectors for the testing data.
|
||||
for test in dev_clean dev_other; do
|
||||
steps/online/nnet2/extract_ivectors_online.sh --cmd "$train_cmd" --nj 20 \
|
||||
data/${test}_hires exp/nnet2_online/extractor exp/nnet2_online/ivectors_$test || exit 1;
|
||||
done
|
||||
fi
|
||||
|
||||
|
||||
if [ $stage -le 9 ]; then
|
||||
# this does offline decoding that should give about the same results as the
|
||||
# real online decoding (the one with --per-utt true)
|
||||
for test in dev_clean dev_other; do
|
||||
steps/nnet2/decode.sh --nj 30 --cmd "$decode_cmd" --config conf/decode.config \
|
||||
--online-ivector-dir exp/nnet2_online/ivectors_${test} \
|
||||
exp/tri6b/graph_pp_tgsmall data/${test}_hiresp $dir/decode_pp_${test}_tgsmall || exit 1;
|
||||
steps/lmrescore.sh --cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tgmed} \
|
||||
data/${test}_hiresp $dir/decode_pp_${test}_{tgsmall,tgmed} || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tglarge} \
|
||||
data/$test $dir/decode_pp_${test}_{tgsmall,tglarge} || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,fglarge} \
|
||||
data/$test $dir/decode_pp_${test}_{tgsmall,fglarge} || exit 1;
|
||||
done
|
||||
fi
|
||||
|
||||
|
||||
if [ $stage -le 10 ]; then
|
||||
# If this setup used PLP features, we'd have to give the option --feature-type plp
|
||||
# to the script below.
|
||||
steps/online/nnet2/prepare_online_decoding.sh --mfcc-config conf/mfcc_hires.conf \
|
||||
--online-pitch-config conf/online_pitch.conf --add-pitch true \
|
||||
data/lang exp/nnet2_online/extractor "$dir" ${dir}_online || exit 1;
|
||||
|
||||
fi
|
||||
|
||||
if [ $stage -le 11 ]; then
|
||||
# do the actual online decoding with iVectors, carrying info forward from
|
||||
# previous utterances of the same speaker.
|
||||
for test in dev_clean dev_other; do
|
||||
steps/online/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 30 \
|
||||
exp/tri6b/graph_pp_tgsmall data/$test ${dir}_online/decode_pp_${test}_tgsmall || exit 1;
|
||||
steps/lmrescore.sh --cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tgmed} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tgmed} || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tglarge} || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,fglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,fglarge} || exit 1;
|
||||
done
|
||||
fi
|
||||
|
||||
if [ $stage -le 12 ]; then
|
||||
# this version of the decoding treats each utterance separately
|
||||
# without carrying forward speaker information.
|
||||
for test in dev_clean dev_other; do
|
||||
steps/online/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 30 \
|
||||
--per-utt true exp/tri6b/graph_pp_tgsmall data/$test ${dir}_online/decode_pp_${test}_tgsmall_utt || exit 1;
|
||||
steps/lmrescore.sh --cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tgmed} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tgmed}_utt || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tglarge}_utt || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,fglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,fglarge}_utt || exit 1;
|
||||
done
|
||||
fi
|
||||
|
||||
if [ $stage -le 13 ]; then
|
||||
# this version of the decoding treats each utterance separately
|
||||
# without carrying forward speaker information, but looks to the end
|
||||
# of the utterance while computing the iVector (--online false)
|
||||
for test in test_clean test_other dev_clean dev_other; do
|
||||
steps/online/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 30 \
|
||||
--per-utt true --online false exp/tri6b/graph_pp_tgsmall data/$test \
|
||||
${dir}_online/decode_pp_${test}_tgsmall_utt_offline || exit 1;
|
||||
steps/lmrescore.sh --cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tgmed} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tgmed}_utt_offline || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,tglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,tglarge}_utt_offline || exit 1;
|
||||
steps/lmrescore_const_arpa.sh \
|
||||
--cmd "$decode_cmd" data/lang_pp_test_{tgsmall,fglarge} \
|
||||
data/$test ${dir}_online/decode_pp_${test}_{tgsmall,fglarge}_utt_offline || exit 1;
|
||||
done
|
||||
fi
|
||||
|
||||
exit 0;
|
||||
Загрузка…
Ссылка в новой задаче