游雁
2024-05-07 87d5f69b819df11969263cf99f7cc2f80bea30da
examples/industrial_data_pretraining/paraformer/demo.py
@@ -5,18 +5,30 @@
from funasr import AutoModel
model = AutoModel(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", model_revision="v2.0.2")
model = AutoModel(
    model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
    vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
    vad_kwargs={"max_single_segment_time": 60000},
    punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
    # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
)
res = model(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav")
res = model.generate(
    input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
    cache={},
)
print(res)
""" can not use currently
from funasr import AutoFrontend
frontend = AutoFrontend(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", model_revision="v2.0.2")
frontend = AutoFrontend(model="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
fbanks = frontend(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", batch_size=2)
for batch_idx, fbank_dict in enumerate(fbanks):
   res = model(**fbank_dict)
   print(res)
    res = model.generate(**fbank_dict)
    print(res)
"""