import librosa
from model_clap import CLAPEmbedding
from model_meta_voice import MetaVoiceEmbedding
from model_pyannote_embedding import PyannoteEmbedding
from model_speaker_embedding import W2VBERTEmbedding, XLSR300MEmbedding, HuBERTXLEmbedding


def test():
    wav, sr = librosa.load("sample.wav")
    print("XLS-R")
    model = XLSR300MEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    print("CLAP")
    model = CLAPEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    print("MetaVoiceSE")
    model = MetaVoiceEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    print("PyannoteSE")
    model = PyannoteEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    print("W2VBertSE")
    model = W2VBERTEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    print("huBERT")
    model = HuBERTXLEmbedding()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)


if __name__ == '__main__':
    test()