From df5f263e5fe3d7961b1aeb3589012400a9905a8f Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 16:17:41 +0800
Subject: [PATCH] update
---
egs/aishell/paraformer/run.sh | 16 ++++++++--------
1 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/egs/aishell/paraformer/run.sh b/egs/aishell/paraformer/run.sh
index 2b0f144..60078a0 100755
--- a/egs/aishell/paraformer/run.sh
+++ b/egs/aishell/paraformer/run.sh
@@ -3,8 +3,8 @@
. ./path.sh || exit 1;
# machines configuration
-CUDA_VISIBLE_DEVICES="0,1"
-gpu_num=2
+CUDA_VISIBLE_DEVICES="0"
+gpu_num=1
count=1
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
@@ -13,15 +13,15 @@
infer_cmd=utils/run.pl
# general configuration
-feats_dir="../DATA" #feature output dictionary
+feats_dir="/nfs/wangjiaming.wjm/Funasr_data/aishell-1-fix-cmvn" #feature output dictionary
exp_dir="."
lang=zh
dumpdir=dump/fbank
feats_type=fbank
token_type=char
-scp=feats.scp
-type=kaldi_ark
-stage=0
+scp=wav.scp
+type=sound
+stage=3
stop_stage=4
# feature configuration
@@ -52,7 +52,7 @@
model_dir="baseline_$(basename "${asr_config}" .yaml)_${feats_type}_${lang}_${token_type}_${tag}"
inference_config=conf/decode_asr_transformer_noctc_1best.yaml
-inference_asr_model=valid.acc.ave_10best.pth
+inference_asr_model=valid.acc.ave_10best.pb
# you can set gpu num for decoding here
gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default
@@ -161,7 +161,7 @@
rank=$i
local_rank=$i
gpu_id=$(echo $CUDA_VISIBLE_DEVICES | cut -d',' -f$[$i+1])
- asr_train_paraformer.py \
+ train.py \
--gpu_id $gpu_id \
--use_preprocessor true \
--token_type char \
--
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