3 papers
eess.AS2026
Latent-Level Enhancement with Flow Matching for Robust Automatic Speech Recognition
Da-Hee Yang, Joon-Hyuk Chang
Noise-robust automatic speech recognition (ASR) has been commonly addressed by applying speech enhancement (SE) at the waveform level before recognition. However, speech-level enha…
cs.CV2025
Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion
DongHoon Lim, YoungChae Kim, Dong-Hyun Kim +2
Robust audio-visual speech recognition (AVSR) in noisy environments remains challenging, as existing systems struggle to estimate audio reliability and dynamically adjust modality…
eess.AS2025
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
Da-Hee Yang, Jaeuk Lee, Joon-Hyuk Chang
We introduce FLOWER, a novel conditioning method designed for speech restoration that integrates Gaussian guidance into generative frameworks. By transforming clean speech into a p…