rui

I got the following model composition for English audio speech recognition with speaker classification ``` funasr_model = AutoModel(model="iic/speech_paraformer_asr-en-16k-vocab4199-pytorch", vad_model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", spk_model="damo/speech_campplus_sv_zh-cn_16k-common", ) ``` And I meet following questions: 1. There...

Currently, according to the document, the way of using emotion model (e.g emotion2vec) is ``` from funasr import AutoModel model = AutoModel(model="iic/emotion2vec_plus_large") wav_file = f"{model.model_path}/example/test.wav" res = model.generate(wav_file, output_dir="./outputs", granularity="utterance",...