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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()
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