Toward Expressive Speech Translation: A Unified Sequence-to-Sequence LSTMs Approach for Translating Words and Emphasis

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Direct Speech-to-Speech Translation With Discrete Units (2021, background): “Studies on TTS for S2ST focus more on synthesizing the para-linguistic information transferred from the source speech, such as prosody [18, 19] and word-level emphasis [20].”
Direct speech-to-speech translation with a sequence-to-sequence model (2019, background): “[10] augmented MT to jointly predict translated words and emphasis, in order to improve expressiveness of the synthesized speech.”