Preserving Speaker Identity in Speech-to-Speech Translation: An Exploration of Attention-Based Approaches

Effective speech-to-speech translation (STST) requires not only accurate linguistic conversion but also preservation of the speaker's unique vocal identity. The paper research investigates the efficacy of attention-based encoder-decoder architectures in achieving this goal. The impact of incorp...

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Vydané v:	International Conference on Computing Communication Control and Automation (Online) s. 1 - 6
Hlavní autori:	Jaybhaye, S. M, Lale, Yogesh, Kulkarni, Parth, Diwnale, Tanvi, Kota, Apurva
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.08.2024
Predmet:	Accuracy Attention mechanisms Automation Bridges Computer architecture Decoding encoder-decoder architectures Focusing Measurement speaker embeddings speaker identity Speaker recognition speech-to-speech translation
ISSN:	2771-1358
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