| import librosa | |
| from model_clap import ClapSE | |
| from model_meta_voice import MetaVoiceSE | |
| from model_pyannote_embedding import PyannoteSE | |
| from model_w2v_bert import W2VBertSE | |
| def test(): | |
| wav, sr = librosa.load("sample.wav") | |
| print("CLAP") | |
| model = ClapSE() | |
| v = model.get_speaker_embedding(wav, sr) | |
| print(v.shape) | |
| # print("MetaVoiceSE") | |
| # model = MetaVoiceSE() | |
| # v = model.get_speaker_embedding(wav, sr) | |
| # print(v.shape) | |
| # print("PyannoteSE") | |
| # model = PyannoteSE() | |
| # v = model.get_speaker_embedding(wav, sr) | |
| # print(v.shape) | |
| # print("W2VBertSE") | |
| # model = W2VBertSE() | |
| # v = model.get_speaker_embedding(wav, sr) | |
| # print(v.shape) | |
| if __name__ == '__main__': | |
| test() | |