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cs.SD2025

DRASP: A Dual-Resolution Attentive Statistics Pooling Framework for Automatic MOS Prediction

Cheng-Yeh Yang, Kuan-Tang Huang, Chien-Chun Wang +3

A pooling mechanism is essential for mean opinion score (MOS) prediction, facilitating the transformation of variable-length audio features into a concise fixed-size representation…

cs.SD2025

Revealing the Role of Audio Channels in ASR Performance Degradation

Kuan-Tang Huang, Li-Wei Chen, Hung-Shin Lee +2

Pre-trained automatic speech recognition (ASR) models have demonstrated strong performance on a variety of tasks. However, their performance can degrade substantially when the inpu…

cs.SD2025

QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems

Chien-Chun Wang, Kuan-Tang Huang, Cheng-Yeh Yang +3

Evaluating audio generation systems, including text-to-music (TTM), text-to-speech (TTS), and text-to-audio (TTA), remains challenging due to the subjective and multi-dimensional n…

cs.SD2025

Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition

Chien-Chun Wang, Li-Wei Chen, Cheng-Kang Chou +3

While pre-trained automatic speech recognition (ASR) systems demonstrate impressive performance on matched domains, their performance often degrades when confronted with channel mi…

cs.SD2024

Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation

Chien-Chun Wang, Li-Wei Chen, Hung-Shin Lee +2

Cross-domain speech enhancement (SE) is often faced with severe challenges due to the scarcity of noise and background information in an unseen target domain, leading to a mismatch…