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chore: friendly error report
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@ -48,8 +48,9 @@ class TextAudioSpeakerLoader(torch.utils.data.Dataset):
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filename = filename.replace("\\", "/")
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audio, sampling_rate = load_wav_to_torch(filename)
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if sampling_rate != self.sampling_rate:
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raise ValueError("{}: {} SR doesn't match target {} SR".format(
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filename, sampling_rate, self.sampling_rate))
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raise ValueError(
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"Sample Rate not match. Expect {} but got {} from {}".format(
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self.sampling_rate, sampling_rate, filename))
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audio_norm = audio / self.max_wav_value
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audio_norm = audio_norm.unsqueeze(0)
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spec_filename = filename.replace(".wav", ".spec.pt")
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