update repo

嘉渊

2023-05-16 c568628130ac42ebeea8cf48fe926520a31ff511

 egs/aishell/data2vec_transformer_finetune/run.sh

@@ -8,7 +8,7 @@
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
njob=1
njob=5
train_cmd=utils/run.pl
infer_cmd=utils/run.pl

@@ -19,6 +19,7 @@
token_type=char
type=sound
scp=wav.scp
speed_perturb="0.9 1.0 1.1"
stage=3
stop_stage=4

@@ -51,8 +52,8 @@
asr_config=conf/train_asr_transformer_12e_6d_3072_768.yaml
model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"

inference_config=conf/decode_asr_transformer_noctc_1best.yaml
inference_asr_model=valid.acc.ave_10best.pb
inference_config=conf/decode_asr_transformer.yaml
inference_asr_model=valid.cer_ctc.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
@@ -134,6 +135,7 @@
                --valid_set ${valid_set} \
                --init_param ${init_param} \
                --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \
                --speed_perturb ${speed_perturb} \
                --resume true \
                --output_dir ${exp_dir}/exp/${model_dir} \
                --config $asr_config \
@@ -187,7 +189,7 @@
                --asr_train_config "${asr_exp}"/config.yaml \
                --asr_model_file "${asr_exp}"/"${inference_asr_model}" \
                --output_dir "${_logdir}"/output.JOB \
                --mode paraformer \
                --mode asr \
                ${_opts}

        for f in token token_int score text; do