zhifu gao
2024-03-04 d2c1204d91d7c98be7998e3966bd82e22750293b
examples/industrial_data_pretraining/seaco_paraformer/demo.py
@@ -7,10 +7,10 @@
model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
                  model_revision="v2.0.4",
                  # vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
                  # vad_model_revision="v2.0.4",
                  # punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
                  # punc_model_revision="v2.0.4",
                  vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
                  vad_model_revision="v2.0.4",
                  punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
                  punc_model_revision="v2.0.4",
                  # spk_model="damo/speech_campplus_sv_zh-cn_16k-common",
                  # spk_model_revision="v2.0.2",
                  )
@@ -43,4 +43,4 @@
wav_file = os.path.join(model.model_path, "example/asr_example.wav")
speech, sample_rate = soundfile.read(wav_file)
res = model.generate(input=[speech], batch_size_s=300, is_final=True)
'''
'''