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· · 来源:tutorial百科

The model learns by pulling representations of the same audio together and pushing different audios apart. It works well, but the distortions (called augmentations) are designed by humans, and they implicitly decide what the model treats as “irrelevant variation.” If you always augment with pitch shifts, the model learns to ignore pitch, but this might be what you don’t want for a translation encoder that needs to preserve the speaker’s intonation.

Фото: Наталья Селиверстова / РИА Новости,更多细节参见爱思助手

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