1 citations · 1 across the 5 of their papers we have counts for
6 papers
Optimal transport meets speech: a tutorial review
Xugang Lu, Yu Tsao
Optimal Transport (OT) provides a principled framework for comparing and transforming probability distributions while preserving geometric structure. Recently, OT has gained signif…
Combining Deterministic Enhanced Conditions with Dual-Streaming Encoding for Diffusion-Based Speech Enhancement
Hao Shi, Xugang Lu, Kazuki Shimada +1
Diffusion-based speech enhancement (SE) models need to incorporate correct prior knowledge as reliable conditions to generate accurate predictions. However, providing reliable cond…
Linguistic Knowledge Transfer Learning for Speech Enhancement
Kuo-Hsuan Hung, Xugang Lu, Szu-Wei Fu +4
Linguistic knowledge plays a crucial role in spoken language comprehension. It provides essential semantic and syntactic context for speech perception in noisy environments. Howeve…
Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement
Meng-Ping Lin, Jen-Cheng Hou, Chia-Wei Chen +4
Speech enhancement (SE) aims to improve the quality and intelligibility of speech in noisy environments. Recent studies have shown that incorporating visual cues in audio signal pr…
MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal
Kuo-Hsuan Hung, Kuan-Chen Wang, Kai-Chun Liu +4
Electrocardiogram (ECG) is an important non-invasive method for diagnosing cardiovascular disease. However, ECG signals are susceptible to noise contamination, such as electrical i…
A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
Cho-Yuan Lee, Kuan-Chen Wang, Kai-Chun Liu +4
In practical scenarios involving the measurement of surface electromyography (sEMG) in muscles, particularly those areas near the heart, one of the primary sources of contamination…