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Hui Zhang 3 years ago committed by GitHub
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examples/aishell/asr0/README.md
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@ -197,7 +197,7 @@ In some situations, you want to use the trained model to do the inference for th
```bash ```bash
if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
# test a single .wav file # test a single .wav file
CUDA_VISIBLE_DEVICES=0 ./local/test_wav.sh ${conf_path} exp/${ckpt}/checkpoints/${avg_ckpt} ${model_type} ${audio_file} CUDA_VISIBLE_DEVICES=0 ./local/test_wav.sh ${conf_path} ${decode_conf_path} exp/${ckpt}/checkpoints/${avg_ckpt} ${model_type} ${audio_file}
fi fi
``` ```
you can train the model by yourself, or you can download the pretrained model by the script below: you can train the model by yourself, or you can download the pretrained model by the script below:
@ -211,5 +211,5 @@ wget -nc https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/demo_01_03.wa
``` ```
You need to prepare an audio file or use the audio demo above, please confirm the sample rate of the audio is 16K. You can get the result of the audio demo by running the script below. You need to prepare an audio file or use the audio demo above, please confirm the sample rate of the audio is 16K. You can get the result of the audio demo by running the script below.
```bash ```bash
CUDA_VISIBLE_DEVICES= ./local/test_wav.sh conf/deepspeech2.yaml exp/deepspeech2/checkpoints/avg_1 data/demo_01_03.wav CUDA_VISIBLE_DEVICES= ./local/test_wav.sh conf/deepspeech2.yaml conf/tuning/decode.yaml exp/deepspeech2/checkpoints/avg_1 data/demo_01_03.wav
``` ```

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