2 papers
eess.AS2026
Improving Automatic Speech Recognition for Speakers Treated for Oral Cancer using Data Augmentation and LLM Error Correction
Hidde Folkertsma, Thomas Tienkamp, Sebastiaan de Visscher +4
In recent years, the performance of automatic speech recognition (ASR) systems has made considerable progress. Unfortunately, for people with speech impairments, such as people tre…
cs.SD2023
Improving severity preservation of healthy-to-pathological voice conversion with global style tokens
Bence Mark Halpern, Wen-Chin Huang, Lester Phillip Violeta +2
In healthy-to-pathological voice conversion (H2P-VC), healthy speech is converted into pathological while preserving the identity. The paper improves on previous two-stage approach…