2 papers
cs.SD2024
Optimizing Dysarthria Wake-Up Word Spotting: An End-to-End Approach for SLT 2024 LRDWWS Challenge
Shuiyun Liu, Yuxiang Kong, Pengcheng Guo +4
Speech has emerged as a widely embraced user interface across diverse applications. However, for individuals with dysarthria, the inherent variability in their speech poses signifi…
eess.AS2024
Efficient Extraction of Noise-Robust Discrete Units from Self-Supervised Speech Models
Jakob Poncelet, Yujun Wang, Hugo Van hamme
Continuous speech can be converted into a discrete sequence by deriving discrete units from the hidden features of self-supervised learned (SSL) speech models. Although SSL models…