funasr1.0 emotion2vec

游雁

2024-01-08 fb176404cfeb40c053f4f42d01eb45c185d21ce2

 examples/industrial_data_pretraining/paraformer/demo.py

@@ -5,7 +5,18 @@

from funasr import AutoModel

model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
model = AutoModel(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")

res = model(input="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
print(res)
res = model(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
print(res)


from funasr import AutoFrontend

frontend = AutoFrontend(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")

fbanks = frontend(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav", batch_size=2)

for batch_idx, fbank_dict in enumerate(fbanks):
   res = model(**fbank_dict)
   print(res)