| | |
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| | | vad_model_revision="v2.0.4", |
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| | | punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", |
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| | | punc_model_revision="v2.0.4", |
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| | | # spk_model="damo/speech_campplus_sv_zh-cn_16k-common", |
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| | | # spk_model_revision="v2.0.2", |
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| | | spk_model="damo/speech_campplus_sv_zh-cn_16k-common", |
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| | | spk_model_revision="v2.0.2", |
|---|
| | | ) |
|---|
| | | |
|---|
| | | |
|---|
| | | # example1 |
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| | | res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", |
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| | | hotword='达摩院 魔搭', |
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| | | # preset_spk_num=2, |
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| | | # sentence_timestamp=True, # return sentence level information when spk_model is not given |
|---|
| | | ) |
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| | | print(res) |
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| | | |
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| | | |
|---|
| | | ''' |
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| | | # tensor or numpy as input |
|---|
| | | # example2 |
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| | | import torchaudio |
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| | | import os |
|---|
| | |
|---|
| | | wav_file = os.path.join(model.model_path, "example/asr_example.wav") |
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| | | speech, sample_rate = soundfile.read(wav_file) |
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| | | res = model.generate(input=[speech], batch_size_s=300, is_final=True) |
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| | | |
|---|
| | | ''' |
|---|
