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From Apple’s ML Team: Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?
This paper was accepted at the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken utterance, including features like stress, intonation and rhythm, can significantly affect the underlying semantics, and as a consequence can also affect its textual translation. Nevertheless, prosody is rarely studied within the context of speech-to-text translation (S2TT) systems. In particular, end-to-end (E2E) systems have been proposed as well-suited for prosody-aware translation because they have direct access to the speech signal when making translation decisions, but…

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