3 papers
eess.AS2023
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model
Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh +2
This study proposes a multi-task pseudo-label learning (MPL)-based non-intrusive speech quality assessment model called MTQ-Net. MPL consists of two stages: obtaining pseudo-label…
eess.AS2023
Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation
Richard Lee Lai, Jen-Cheng Hou, I-Chun Chern +6
Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. The aim of this study is to explore the effectivenes…
cs.SD2023
Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion
Yung-Lun Chien, Hsin-Hao Chen, Ming-Chi Yen +4
Electrolarynx is a commonly used assistive device to help patients with removed vocal cords regain their ability to speak. Although the electrolarynx can generate excitation signal…