| | |
| | | |
| | | from funasr import AutoModel |
| | | |
| | | model = AutoModel(model="damo/emotion2vec_base", model_revision="v2.0.0") |
| | | # model="iic/emotion2vec_base" |
| | | # model="iic/emotion2vec_base_finetuned" |
| | | # model="iic/emotion2vec_plus_seed" |
| | | # model="iic/emotion2vec_plus_base" |
| | | model = "iic/emotion2vec_plus_large" |
| | | |
| | | res = model(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", output_dir="./outputs") |
| | | print(res) |
| | | model = AutoModel( |
| | | model=model, |
| | | # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", |
| | | # vad_model_revision="master", |
| | | # vad_kwargs={"max_single_segment_time": 2000}, |
| | | ) |
| | | |
| | | wav_file = f"{model.model_path}/example/test.wav" |
| | | |
| | | res = model.generate( |
| | | wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False |
| | | ) |
| | | print(res) |