提交 eef8847a 编写于 作者: H Hui Zhang

compute cmvn before build vocab

上级 ad6d09d6
# ASR
* s0 for deepspeech2 offline
* s1 for u2
* s0 for deepspeech2
* s1 for u2/transformer/conformer
## Data
| Data Subset | Duration in Seconds |
| data/manifest.train | 1.23 ~ 14.53125 |
| data/manifest.dev | 1.645 ~ 12.533 |
| data/manifest.test | 1.859125 ~ 14.6999375 |
# Aishell-1
## Data
| Data Subset | Duration in Seconds |
| data/manifest.train | 1.23 ~ 14.53125 |
| data/manifest.dev | 1.645 ~ 12.533 |
| data/manifest.test | 1.859125 ~ 14.6999375 |
## Deepspeech2
| Model | Params | Release | Config | Test set | Loss | CER |
......
......@@ -26,22 +26,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw" "data/manifest.dev.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -62,6 +46,20 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw" "data/manifest.dev.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -19,17 +19,17 @@
{
"type": "specaug",
"params": {
"W": 0,
"warp_mode": "PIL",
"F": 10,
"T": 50,
"n_freq_masks": 2,
"T": 50,
"n_time_masks": 2,
"p": 1.0,
"W": 80,
"adaptive_number_ratio": 0,
"adaptive_size_ratio": 0,
"max_n_time_masks": 20,
"replace_with_zero": true,
"warp_mode": "PIL"
"replace_with_zero": true
},
"prob": 1.0
}
......
......@@ -26,22 +26,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -63,6 +47,20 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -25,5 +25,5 @@ export PATH=${PATH}:${SRILM}/bin:${SRILM}/bin/i686-m64
export KALDI_ROOT=${MAIN_ROOT}/tools/kaldi
[ -f $KALDI_ROOT/tools/env.sh ] && . $KALDI_ROOT/tools/env.sh
export PATH=$PWD/utils/:$KALDI_ROOT/tools/openfst/bin:$PWD:$PATH
[ ! -f $KALDI_ROOT/tools/config/common_path.sh ] && echo >&2 "The standard file $KALDI_ROOT/tools/config/common_path.sh is not present -> Exit!"
. $KALDI_ROOT/tools/config/common_path.sh || true
[ ! -f $KALDI_ROOT/tools/config/common_path.sh ] && echo >&2 "The standard file $KALDI_ROOT/tools/config/common_path.sh is not present, can not using Kaldi!"
[ -f $KALDI_ROOT/tools/config/common_path.sh ] && . $KALDI_ROOT/tools/config/common_path.sh
......@@ -14,22 +14,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -51,6 +35,20 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# download data, generate manifests
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type="char" \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths "data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -4,3 +4,10 @@
* s1 is for transformer/conformer/U2
* s2 is for transformer/conformer/U2 w/ kaldi feat
need install Kaldi
## Data
| Data Subset | Duration in Seconds |
| --- | --- |
| data/manifest.train | 0.83s ~ 29.735s |
| data/manifest.dev | 1.065 ~ 35.155s |
| data/manifest.test-clean | 1.285s ~ 34.955s |
......@@ -42,21 +42,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -77,6 +62,19 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
# LibriSpeech
## Data
| Data Subset | Duration in Seconds |
| --- | --- |
| data/manifest.train | 0.83s ~ 29.735s |
| data/manifest.dev | 1.065 ~ 35.155s |
| data/manifest.test-clean | 1.285s ~ 34.955s |
## Conformer
| Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |
| --- | --- | --- | --- | --- | --- | --- | --- |
......@@ -21,6 +13,7 @@
| --- | --- | --- | --- | --- | --- | --- | --- |
| conformer | 47.63 M | conf/conformer.yaml | spec_aug + shift | test-clean-all | attention | 6.35 | 0.057117 |
## Chunk Conformer
| Model | Params | Config | Augmentation| Test set | Decode method | Chunk Size & Left Chunks | Loss | WER |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
......
......@@ -46,23 +46,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -84,6 +67,21 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -46,23 +46,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -84,6 +67,21 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -44,27 +44,7 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
echo "Complete raw data pre-process."
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--text_keys 'text' 'text1' \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -86,6 +66,23 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--text_keys 'text' 'text1' \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -24,22 +24,8 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# compute mean and stddev for normalizer
num_workers=$(nproc)
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
......@@ -61,6 +47,19 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.train.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -27,21 +27,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.tiny.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
--manifest_path="data/manifest.tiny.raw" \
......@@ -61,6 +46,19 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type ${unit_type} \
--count_threshold=0 \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.tiny.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
......@@ -30,23 +30,6 @@ if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.tiny.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# compute mean and stddev for normalizer
python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
--manifest_path="data/manifest.tiny.raw" \
......@@ -67,6 +50,21 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# build vocabulary
python3 ${MAIN_ROOT}/utils/build_vocab.py \
--unit_type "spm" \
--spm_vocab_size=${nbpe} \
--spm_mode ${bpemode} \
--spm_model_prefix ${bpeprefix} \
--vocab_path="data/vocab.txt" \
--manifest_paths="data/manifest.tiny.raw"
if [ $? -ne 0 ]; then
echo "Build vocabulary failed. Terminated."
exit 1
fi
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# format manifest with tokenids, vocab size
......
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