collaborators

5 papers

eess.AS2026

Augmenting Dysarthric Speech Severity Assessment with MOS Supervision

Kaimeng Jia, Minzhu Tu, Zengrui Jin +2

Dysarthria is a speech disorder marked by reduced intelligibility and communicative effectiveness. Automatic utterance-level assessment of dysarthric speech can support scalable sp…

cs.SD2026

ClariCodec: Optimising Neural Speech Codes for 200bps Communication using Reinforcement Learning

Junyi Wang, Chi Zhang, Jing Qian +4

In bandwidth-constrained communication such as satellite and underwater channels, speech must often be transmitted at ultra-low bitrates where intelligibility is the primary object…

eess.AS2025

Augmenting Open-Vocabulary Dysarthric Speech Assessment with Human Perceptual Supervision

Kaimeng Jia, Minzhu Tu, Zengrui Jin +2

Dysarthria is a speech disorder characterized by impaired intelligibility and reduced communicative effectiveness. Automatic dysarthria assessment provides a scalable, cost-effecti…

cs.SD2025

Speech-Audio Compositional Attacks on Multimodal LLMs and Their Mitigation with SALMONN-Guard

Yudong Yang, Xuezhen Zhang, Zhifeng Han +6

Recent progress in LLMs has enabled understanding of audio signals, but has also exposed new safety risks arising from complex audio inputs that are inadequately handled by current…

eess.AS2025

Multiplexing Neural Audio Watermarks with Adaptive Routing

Zheqi Yuan, Yucheng Huang, Guangzhi Sun +2

Audio watermarking supports speech authenticity verification. We study whether combining heterogeneous watermarks can retain at least one detectable provenance signal when their fa…