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20192026
most citedImproving Transformer-based Speech Recognition Using Unsupervised Pre-training

102 citations · 119 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

AuraSE: Low-Hallucination Generative Speech Enhancement via Multimodal Flow Matching and Inference Policy Optimization

Yingda Shen, Yao Qian, Yuxuan Hu +7

Generative speech enhancement models can produce cleaner and more natural-sounding speech than conventional discriminative approaches, but may hallucinate by changing speech conten…

cs.SD2026

EchoChat: Structured Cognitive Reasoning in Empathetic Spoken Dialogue

Dingdong Wang, Shujie Liu, Yayue Deng +6

Empathetic spoken dialogue is a sophisticated cognitive process that requires not only recognizing emotions but also inferring a user's latent mental states to provide appropriate…

cs.SD2026

DuraS2ST: Chain-of-Thought and Reinforcement Learning for Duration-Aligned Speech-to-Speech Translation

Yayue Deng, Dingdong Wang, Yuxuan Hu +7

Speech-to-speech translation (S2ST) in time-sensitive applications such as video dubbing requires not only semantic fidelity and speaker preservation, but also strict duration cons…

cs.SD2025

FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates

Jiaqi Li, Yao Qian, Yuxuan Hu +7

Neural audio codecs are foundational to speech language models. It is expected to have a low frame rate and decoupled semantic and acoustic information. A lower frame rate codec ca…

cs.SD2025

CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching

Leying Zhang, Yao Qian, Xiaofei Wang +8

Generating natural-sounding, multi-speaker dialogue is crucial for applications such as podcast creation, virtual agents, and multimedia content generation. However, existing syste…