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Improved Long-Form Spoken Language Translation with Large Language Models
A challenge in spoken language translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations.
Neural Models of Text Normalization for Speech Applications
One problem that has been somewhat resistant to effective machine learning solutions is text normalization for speech applications such as text-to-speech synthesis (TTS).
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