From 580b11b57ac4b62f7e2acda73813a4e10e8e4cd3 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 10 十月 2023 17:17:29 +0800
Subject: [PATCH] v0.8.0
---
egs/librispeech/conformer/run.sh | 12 ++++++------
1 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/egs/librispeech/conformer/run.sh b/egs/librispeech/conformer/run.sh
index 2e34cbf..5296340 100755
--- a/egs/librispeech/conformer/run.sh
+++ b/egs/librispeech/conformer/run.sh
@@ -53,9 +53,9 @@
asr_config=conf/train_asr_conformer.yaml
model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
-inference_config=conf/decode_asr_transformer.yaml
-#inference_config=conf/decode_asr_transformer_beam60_ctc0.3.yaml
-inference_asr_model=valid.acc.ave_10best.pth
+inference_config=conf/decode_asr_transformer_ctc0.3_beam5yaml
+#inference_config=conf/decode_asr_transformer_ctc0.3_beam60.yaml
+inference_asr_model=valid.acc.ave_10best.pb
# you can set gpu num for decoding here
gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default
@@ -97,7 +97,7 @@
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
echo "stage 1: Feature and CMVN Generation"
- utils/compute_cmvn.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} ${feats_dir}/data/${train_set}
+ utils/compute_cmvn.sh --fbankdir ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config_file "$asr_config" --scale 1.0
fi
token_list=${feats_dir}/data/lang_char/${train_set}_${bpemode}${nbpe}_units.txt
@@ -150,7 +150,7 @@
--data_dir ${feats_dir}/data \
--train_set ${train_set} \
--valid_set ${valid_set} \
- --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
+ --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \
--speed_perturb ${speed_perturb} \
--resume true \
--output_dir ${exp_dir}/exp/${model_dir} \
@@ -201,7 +201,7 @@
--njob ${njob} \
--gpuid_list ${gpuid_list} \
--data_path_and_name_and_type "${_data}/${scp},speech,${type}" \
- --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
+ --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \
--key_file "${_logdir}"/keys.JOB.scp \
--asr_train_config "${asr_exp}"/config.yaml \
--asr_model_file "${asr_exp}"/"${inference_asr_model}" \
--
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