3 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information
Yen-Ju Lu, Chia-Yu Chang, Cheng Yu +4
Previous studies have confirmed that by augmenting acoustic features with the place/manner of articulatory features, the speech enhancement (SE) process can be guided to consider t…