Intent transfer in speech-to-speech machine translation

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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].”
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are (2020, background): “Analyzing information loss: Prior work (Aguero et al., 2006; Anumanchipalli et al., 2012; Do et al., 2017; Kano et al., 2018) has addressed prosody transfer in speech-to-speech translation, but to our knowledge the question of how such information should inform textual translation decisions is…”
Toward Expressive Speech Translation: A Unified Sequence-to-Sequence LSTMs Approach for Translating Words and Emphasis (2017, methodology): “To leverage conventional S2ST systems to handle emphasis, previous works on emphasis translation [3, 4, 5] proposed additional components to estimate and translate it.”