| | |
|---|
| | | model="damo/speech_fsmn_vad_zh-cn-16k-common" |
|---|
| | | data_dir="./data/test" |
|---|
| | | output_dir="./results" |
|---|
| | | batch_size=64 |
|---|
| | | batch_size=1 |
|---|
| | | gpu_inference=true # whether to perform gpu decoding |
|---|
| | | gpuid_list="0,1" # set gpus, e.g., gpuid_list="0,1" |
|---|
| | | njob=64 # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob |
|---|
| | |
|---|
| | | done |
|---|
| | | perl utils/split_scp.pl ${data_dir}/wav.scp ${split_scps} |
|---|
| | | |
|---|
| | | if -n ${checkpoint_dir}; then |
|---|
| | | if [ -n "${checkpoint_dir}" ]; then |
|---|
| | | python utils/prepare_checkpoint.py ${model} ${checkpoint_dir} ${checkpoint_name} |
|---|
| | | model=${checkpoint_dir}/${model} |
|---|
| | | fi |
|---|
