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Repetition, Not Length: Isolating the Counting Failure in Neural Text-to-Speech

Borodin, Kirill et al.
arXiv (All) · Papers
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computation-and-languagesound
Text-to-speech models loop, truncate and lose count on text that repeats a phrase many times. We show that repetition itself is what breaks them, not the length that comes with it. Every repeated sentence in our test set is paired with a control of matched sentence and word count in which no word ev
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