arXiv:2211.11584
공식 코드 · Papers with Code
Dialogs Re-enacted Across Languages
원문 초록
To support machine learning of cross-language prosodic mappings and other ways to improve speech-to-speech translation, we present a protocol for collecting closely matched pairs of utterances across languages, a description of the resulting data collection and its public release, and some observations and musings. This report is intended for: people using this corpus, people extending this corpus, and people designing similar collections of bilingual dialog data.
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Using Phonemes in cascaded S2S translation pipeline
High-Fidelity Simultaneous Speech-To-Speech Translation
Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs
S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation
Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing
Language translation, and change of accent for speech-to-speech task using diffusion model
토론
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