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| | | |
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| | | from funasr import AutoModel |
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| | | |
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| | | model = AutoModel(model="damo/emotion2vec_base", model_revision="v2.0.1") |
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| | | # model="iic/emotion2vec_base" |
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| | | # model="iic/emotion2vec_base_finetuned" |
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| | | # model="iic/emotion2vec_plus_seed" |
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| | | # model="iic/emotion2vec_plus_base" |
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| | | model = "iic/emotion2vec_plus_large" |
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| | | |
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| | | res = model(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", output_dir="./outputs") |
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| | | print(res) |
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| | | model = AutoModel( |
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| | | model=model, |
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| | | # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", |
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| | | # vad_model_revision="master", |
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| | | # vad_kwargs={"max_single_segment_time": 2000}, |
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| | | hub="ms", # "ms" or "modelscope" for Mainland China users; "hf" or "huggingface" for Other overseas users |
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| | | ) |
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| | | |
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| | | wav_file = f"{model.model_path}/example/test.wav" |
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| | | |
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| | | res = model.generate( |
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| | | wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False |
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| | | ) |
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| | | print(res) |
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