23 citations · 56 across the 23 of their papers we have counts for
12 papers · 1 filter
Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics
Syu-Siang Wang, Jia-Yang Chen, Bo-Ren Bai +2
The utilization of face masks is an essential healthcare measure, particularly during times of pandemics, yet it can present challenges in communication in our daily lives. To addr…
SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models
Chun Yin, Tai-Shih Chi, Yu Tsao +1
Representations from pre-trained speech foundation models (SFMs) have shown impressive performance in many downstream tasks. However, the potential benefits of incorporating pre-tr…
Audio-Visual Speech Enhancement in Noisy Environments via Emotion-Based Contextual Cues
Tassadaq Hussain, Kia Dashtipour, Yu Tsao +1
In real-world environments, background noise significantly degrades the intelligibility and clarity of human speech. Audio-visual speech enhancement (AVSE) attempts to restore spee…
Multi-objective Non-intrusive Hearing-aid Speech Assessment Model
Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang +2
Without the need for a clean reference, non-intrusive speech assessment methods have caught great attention for objective evaluations. While deep learning models have been used to…
Neural domain alignment for spoken language recognition based on optimal transport
Xugang Lu, Peng Shen, Yu Tsao +1
Domain shift poses a significant challenge in cross-domain spoken language recognition (SLR) by reducing its effectiveness. Unsupervised domain adaptation (UDA) algorithms have bee…
Deep Complex U-Net with Conformer for Audio-Visual Speech Enhancement
Shafique Ahmed, Chia-Wei Chen, Wenze Ren +7
Recent studies have increasingly acknowledged the advantages of incorporating visual data into speech enhancement (SE) systems. In this paper, we introduce a novel audio-visual SE…