add

游雁

2024-05-14 699b006ee5a6d0748fc9d37f7c068af7c98c2c8e

 examples/industrial_data_pretraining/emotion2vec/demo.py

@@ -5,8 +5,21 @@

from funasr import AutoModel

model = AutoModel(model="damo/emotion2vec_base", model_revision="v2.0.1")
# model="iic/emotion2vec_base"
# model="iic/emotion2vec_base_finetuned"
# model="iic/emotion2vec_plus_seed_modelscope"
# model="iic/emotion2vec_plus_base_modelscope"
model = "iic/emotion2vec_plus_large_modelscope"

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")
print(res)
res = model.generate(
    wav_file, output_dir="./outputs", granularity="utterance", extract_embedding=False
)
print(res)