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
from model_xls import XLSRSE


def test():
    wav, sr = librosa.load("sample.wav")
    print("XLS-R")
    model = XLSRSE()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    model = ClapSE()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    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()