Papers by YiNan Bai

1 papers
OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model (2025.emnlp-demos)

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Challenge: Empathetic speech models are increasingly closed off, leaving details about the architecture, data and development opaque to researchers.
Approach: They propose an open-source empathetic speech-to-text model with a streaming interleaved decoding architecture and a data pipeline to enable end-to end training.
Outcome: The proposed model is open-source and transparent, with no data or data required to build it.

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