From d2a64f2137ac23d1951fd2fa25b6053bba6f7873 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 15 五月 2023 11:23:33 +0800
Subject: [PATCH] update repo
---
egs/aishell2/conformer/run.sh | 71 +++++++----------------------------
1 files changed, 15 insertions(+), 56 deletions(-)
diff --git a/egs/aishell2/conformer/run.sh b/egs/aishell2/conformer/run.sh
index f9ea69a..63f0822 100755
--- a/egs/aishell2/conformer/run.sh
+++ b/egs/aishell2/conformer/run.sh
@@ -9,31 +9,27 @@
gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
njob=5
-train_cmd=tools/run.pl
+train_cmd=utils/run.pl
infer_cmd=utils/run.pl
# general configuration
feats_dir="../DATA" #feature output dictionary
exp_dir="."
lang=zh
-dumpdir=dump/fbank
-feats_type=fbank
token_type=char
-dataset_type=large
-scp=feats.scp
-type=kaldi_ark
-stage=0
-stop_stage=4
+type=sound
+scp=wav.scp
+speed_perturb="0.9 1.0 1.1"
+stage=1
+stop_stage=1
# feature configuration
feats_dim=80
-sample_frequency=16000
-nj=100
-speed_perturb="0.9,1.0,1.1"
+nj=64
# data
-tr_dir=
-dev_tst_dir=
+tr_dir=/nfs/wangjiaming.wjm/asr_data/aishell2/AISHELL-2/iOS/data
+dev_tst_dir=/nfs/wangjiaming.wjm/asr_data/aishell2/AISHELL-DEV-TEST-SET
# exp tag
tag="exp1"
@@ -51,13 +47,13 @@
test_sets="dev_ios test_ios"
asr_config=conf/train_asr_conformer.yaml
-model_dir="baseline_$(basename "${asr_config}" .yaml)_${feats_type}_${lang}_${token_type}_${tag}"
+model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
inference_config=conf/decode_asr_transformer.yaml
inference_asr_model=valid.acc.ave_10best.pb
# you can set gpu num for decoding here
-gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, e.g., gpuid_list=2,3, the same as training stage by default
+gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default
ngpu=$(echo $gpuid_list | awk -F "," '{print NF}')
if ${gpu_inference}; then
@@ -73,7 +69,7 @@
# For training set
local/prepare_data.sh ${tr_dir} ${feats_dir}/data/local/train ${feats_dir}/data/train || exit 1;
# # For dev and test set
- for x in Android iOS Mic; do
+ for x in iOS; do
local/prepare_data.sh ${dev_tst_dir}/${x}/dev ${feats_dir}/data/local/dev_${x,,} ${feats_dir}/data/dev_${x,,} || exit 1;
local/prepare_data.sh ${dev_tst_dir}/${x}/test ${feats_dir}/data/local/test_${x,,} ${feats_dir}/data/test_${x,,} || exit 1;
done
@@ -83,51 +79,14 @@
paste -d " " <(cut -f 1 ${feats_dir}/data/${x}/text.org) <(cut -f 2- ${feats_dir}/data/${x}/text.org \
| tr 'A-Z' 'a-z' | tr -d " ") \
> ${feats_dir}/data/${x}/text
- tools/text2token.py -n 1 -s 1 ${feats_dir}/data/${x}/text > ${feats_dir}/data/${x}/text.org
+ utils/text2token.py -n 1 -s 1 ${feats_dir}/data/${x}/text > ${feats_dir}/data/${x}/text.org
mv ${feats_dir}/data/${x}/text.org ${feats_dir}/data/${x}/text
done
fi
-feat_train_dir=${feats_dir}/${dumpdir}/${train_set}; mkdir -p ${feat_train_dir}
-feat_dev_dir=${feats_dir}/${dumpdir}/${valid_set}; mkdir -p ${feat_dev_dir}
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
- echo "stage 1: Feature Generation"
- # compute fbank features
- fbankdir=${feats_dir}/fbank
- steps/compute_fbank.sh --cmd "$train_cmd" --nj $nj --speed_perturb ${speed_perturb} \
- ${feats_dir}/data/train ${exp_dir}/exp/make_fbank/train ${fbankdir}/train
- tools/fix_data_feat.sh ${fbankdir}/train
- for x in android ios mic; do
- steps/compute_fbank.sh --cmd "$train_cmd" --nj $nj \
- ${feats_dir}/data/dev_${x} ${exp_dir}/exp/make_fbank/dev_${x} ${fbankdir}/dev_${x}
- tools/fix_data_feat.sh ${fbankdir}/dev_${x}
- steps/compute_fbank.sh --cmd "$train_cmd" --nj $nj \
- ${feats_dir}/data/test_${x} ${exp_dir}/exp/make_fbank/test_${x} ${fbankdir}/test_${x}
- tools/fix_data_feat.sh ${fbankdir}/test_${x}
- done
-
- # compute global cmvn
- steps/compute_cmvn.sh --cmd "$train_cmd" --nj $nj \
- ${fbankdir}/train ${exp_dir}/exp/make_fbank/train
-
- # apply cmvn
- steps/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
- ${fbankdir}/${train_set} ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/${train_set} ${feat_train_dir}
- steps/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
- ${fbankdir}/${valid_set} ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/${valid_set} ${feat_dev_dir}
- for x in android ios mic; do
- steps/apply_cmvn.sh --cmd "$train_cmd" --nj $nj \
- ${fbankdir}/test_${x} ${fbankdir}/train/cmvn.json ${exp_dir}/exp/make_fbank/test_${x} ${feats_dir}/${dumpdir}/test_${x}
- done
-
- cp ${fbankdir}/${train_set}/text ${fbankdir}/${train_set}/speech_shape ${fbankdir}/${train_set}/text_shape ${feat_train_dir}
- tools/fix_data_feat.sh ${feat_train_dir}
- cp ${fbankdir}/${valid_set}/text ${fbankdir}/${valid_set}/speech_shape ${fbankdir}/${valid_set}/text_shape ${feat_dev_dir}
- tools/fix_data_feat.sh ${feat_dev_dir}
- for x in android ios mic; do
- cp ${fbankdir}/test_${x}/text ${fbankdir}/test_${x}/speech_shape ${fbankdir}/test_${x}/text_shape ${feats_dir}/${dumpdir}/test_${x}
- tools/fix_data_feat.sh ${feats_dir}/${dumpdir}/test_${x}
- done
+ echo "stage 1: Feature and CMVN Generation"
+ utils/compute_cmvn.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} ${feats_dir}/data/${train_set}
fi
token_list=${feats_dir}/data/${lang}_token_list/char/tokens.txt
--
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