5 papers
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…
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…
Multiplexing Neural Audio Watermarks
Zheqi Yuan, Yucheng Huang, Guangzhi Sun +2
Audio watermarking is essential for verifying speech authenticity, yet single-watermark schemes often struggle against sophisticated distortions such as neural reconstruction and a…
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…
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…