update

嘉渊

2023-04-25 fc54f4c6acd95e72173fd47909dd114ed30f4801

update

 egs/aishell/paraformer/local/download_and_untar.sh

New file
@@ -0,0 +1,105 @@
#!/usr/bin/env bash

# Copyright   2014  Johns Hopkins University (author: Daniel Povey)
#             2017  Xingyu Na
# Apache 2.0

remove_archive=false

if [ "$1" == --remove-archive ]; then
  remove_archive=true
  shift
fi

if [ $# -ne 3 ]; then
  echo "Usage: $0 [--remove-archive] <data-base> <url-base> <corpus-part>"
  echo "e.g.: $0 /export/a05/xna/data www.openslr.org/resources/33 data_aishell"
  echo "With --remove-archive it will remove the archive after successfully un-tarring it."
  echo "<corpus-part> can be one of: data_aishell, resource_aishell."
fi

data=$1
url=$2
part=$3

if [ ! -d "$data" ]; then
  echo "$0: no such directory $data"
  exit 1;
fi

part_ok=false
list="data_aishell resource_aishell"
for x in $list; do
  if [ "$part" == $x ]; then part_ok=true; fi
done
if ! $part_ok; then
  echo "$0: expected <corpus-part> to be one of $list, but got '$part'"
  exit 1;
fi

if [ -z "$url" ]; then
  echo "$0: empty URL base."
  exit 1;
fi

if [ -f $data/$part/.complete ]; then
  echo "$0: data part $part was already successfully extracted, nothing to do."
  exit 0;
fi

# sizes of the archive files in bytes.
sizes="15582913665 1246920"

if [ -f $data/$part.tgz ]; then
  size=$(/bin/ls -l $data/$part.tgz | awk '{print $5}')
  size_ok=false
  for s in $sizes; do if [ $s == $size ]; then size_ok=true; fi; done
  if ! $size_ok; then
    echo "$0: removing existing file $data/$part.tgz because its size in bytes $size"
    echo "does not equal the size of one of the archives."
    rm $data/$part.tgz
  else
    echo "$data/$part.tgz exists and appears to be complete."
  fi
fi

if [ ! -f $data/$part.tgz ]; then
  if ! command -v wget >/dev/null; then
    echo "$0: wget is not installed."
    exit 1;
  fi
  full_url=$url/$part.tgz
  echo "$0: downloading data from $full_url.  This may take some time, please be patient."

  cd $data || exit 1
  if ! wget --no-check-certificate $full_url; then
    echo "$0: error executing wget $full_url"
    exit 1;
  fi
fi

cd $data || exit 1

if ! tar -xvzf $part.tgz; then
  echo "$0: error un-tarring archive $data/$part.tgz"
  exit 1;
fi

touch $data/$part/.complete

if [ $part == "data_aishell" ]; then
  cd $data/$part/wav || exit 1
  for wav in ./*.tar.gz; do
    echo "Extracting wav from $wav"
    tar -zxf $wav && rm $wav
  done
fi

echo "$0: Successfully downloaded and un-tarred $data/$part.tgz"

if $remove_archive; then
  echo "$0: removing $data/$part.tgz file since --remove-archive option was supplied."
  rm $data/$part.tgz
fi

exit 0;

 egs/aishell/paraformer/local/prepare_data.sh

File was deleted

 egs/aishell/paraformer/run.sh

@@ -13,7 +13,7 @@
infer_cmd=utils/run.pl

# general configuration
feats_dir="/nfs/wangjiaming.wjm/Funasr_data_test/aishell" #feature output dictionary
feats_dir="../DATA" #feature output dictionary
exp_dir="."
lang=zh
dumpdir=dump/fbank
@@ -21,8 +21,8 @@
token_type=char
scp=wav.scp
type=sound
stage=3
stop_stage=4
stage=1
stop_stage=1

# feature configuration
feats_dim=80
@@ -31,7 +31,8 @@
speed_perturb="0.9,1.0,1.1"

# data
data_aishell=
raw_data=
data_url=www.openslr.org/resources/33

# exp tag
tag=""
@@ -66,10 +67,16 @@
    _ngpu=0
fi

if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
    echo "stage -1: Data Download"
    local/download_and_untar.sh ${raw_data} ${data_url} data_aishell
    local/download_and_untar.sh ${raw_data} ${data_url} resource_aishell
fi

if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
    echo "stage 0: Data preparation"
    # Data preparation
    local/aishell_data_prep.sh ${data_aishell}/data_aishell/wav ${data_aishell}/data_aishell/transcript ${feats_dir}
    local/aishell_data_prep.sh ${raw_data}/data_aishell/wav ${raw_data}/data_aishell/transcript ${feats_dir}
    for x in train dev test; do
        cp ${feats_dir}/data/${x}/text ${feats_dir}/data/${x}/text.org
        paste -d " " <(cut -f 1 -d" " ${feats_dir}/data/${x}/text.org) <(cut -f 2- -d" " ${feats_dir}/data/${x}/text.org | tr -d " ") \
@@ -80,45 +87,10 @@
fi

feat_train_dir=${feats_dir}/${dumpdir}/train; mkdir -p ${feat_train_dir}
feat_dev_dir=${feats_dir}/${dumpdir}/dev; mkdir -p ${feat_dev_dir}
feat_test_dir=${feats_dir}/${dumpdir}/test; mkdir -p ${feat_test_dir}
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
    echo "stage 1: Feature Generation"
    # compute fbank features
    fbankdir=${feats_dir}/fbank
    utils/compute_fbank.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --sample_frequency ${sample_frequency} --speed_perturb ${speed_perturb} \
        ${feats_dir}/data/train ${exp_dir}/exp/make_fbank/train ${fbankdir}/train
    utils/fix_data_feat.sh ${fbankdir}/train
    utils/compute_fbank.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --sample_frequency ${sample_frequency} \
        ${feats_dir}/data/dev ${exp_dir}/exp/make_fbank/dev ${fbankdir}/dev
    utils/fix_data_feat.sh ${fbankdir}/dev
    utils/compute_fbank.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --sample_frequency ${sample_frequency} \
        ${feats_dir}/data/test ${exp_dir}/exp/make_fbank/test ${fbankdir}/test
    utils/fix_data_feat.sh ${fbankdir}/test
     
    # compute global cmvn
    echo "stage 1: Feature and CMVN Generation"
    utils/compute_cmvn.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} \
        ${fbankdir}/train ${exp_dir}/exp/make_fbank/train

    # apply cmvn 
    utils/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
        ${fbankdir}/train ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/train ${feat_train_dir}
    utils/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
        ${fbankdir}/dev ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/dev ${feat_dev_dir}
    utils/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
        ${fbankdir}/test ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/test ${feat_test_dir}
    
    cp ${fbankdir}/train/text ${fbankdir}/train/speech_shape ${fbankdir}/train/text_shape ${feat_train_dir}
    cp ${fbankdir}/dev/text ${fbankdir}/dev/speech_shape ${fbankdir}/dev/text_shape ${feat_dev_dir}
    cp ${fbankdir}/test/text ${fbankdir}/test/speech_shape ${fbankdir}/test/text_shape ${feat_test_dir}

    utils/fix_data_feat.sh ${feat_train_dir}
    utils/fix_data_feat.sh ${feat_dev_dir}
    utils/fix_data_feat.sh ${feat_test_dir}

    #generate ark list 
    utils/gen_ark_list.sh --cmd "$train_cmd" --nj $nj ${feat_train_dir} ${fbankdir}/train ${feat_train_dir}
    utils/gen_ark_list.sh --cmd "$train_cmd" --nj $nj ${feat_dev_dir} ${fbankdir}/dev ${feat_dev_dir}
        ${feats_dir}/data/${train_set} ${exp_dir}/exp/make_fbank/${train_set}
fi

token_list=${feats_dir}/data/${lang}_token_list/char/tokens.txt
@@ -136,12 +108,6 @@
    num_token=$(cat ${token_list} | wc -l)
    echo "<unk>" >> ${token_list}
    vocab_size=$(cat ${token_list} | wc -l)
    awk -v v=,${vocab_size} '{print $0v}' ${feat_train_dir}/text_shape > ${feat_train_dir}/text_shape.char
    awk -v v=,${vocab_size} '{print $0v}' ${feat_dev_dir}/text_shape > ${feat_dev_dir}/text_shape.char
    mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/train 
    mkdir -p ${feats_dir}/asr_stats_fbank_zh_char/dev
    cp ${feat_train_dir}/speech_shape ${feat_train_dir}/text_shape ${feat_train_dir}/text_shape.char ${feats_dir}/asr_stats_fbank_zh_char/train
    cp ${feat_dev_dir}/speech_shape ${feat_dev_dir}/text_shape ${feat_dev_dir}/text_shape.char ${feats_dir}/asr_stats_fbank_zh_char/dev
fi

# Training Stage

 egs/aishell/transformer/utils/compute_cmvn.sh

@@ -13,13 +13,17 @@
fbankdir=$1
logdir=$2

output_dir=${fbankdir}/cmvn; mkdir -p ${output_dir}
mkdir -p ${logdir}
output_dir=${fbankdir}/cmvn/split_${nj};
split_scps=""
for n in $(seq $nj); do
    split_scps="$split_scps $output_dir/wav.$n.scp"
done
utils/split_scp.pl ${fbankdir}/wav.scp $split_scps || exit 1;

$cmd JOB=1:$nj $logdir/cmvn.JOB.log \
    python utils/compute_cmvn.py -d ${feats_dim} -a $fbankdir/ark -i JOB -o ${output_dir} \
        || exit 1;

python utils/combine_cmvn_file.py -d ${feats_dim} -c ${output_dir} -n $nj -o $fbankdir

echo "$0: Succeeded compute global cmvn"
#$cmd JOB=1:$nj $logdir/cmvn.JOB.log \
#    python utils/compute_cmvn.py -d ${feats_dim} -a $fbankdir/ark -i JOB -o ${output_dir} \
#        || exit 1;
#
#python utils/combine_cmvn_file.py -d ${feats_dim} -c ${output_dir} -n $nj -o $fbankdir
#
#echo "$0: Succeeded compute global cmvn"