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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…
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…
eess.AS2024★ 2 cited
A Dual-Branch Parallel Network for Speech Enhancement and Restoration
Da-Hee Yang, Dail Kim, Joon-Hyuk Chang +2
We present a novel general speech restoration model, DBP-Net (dual-branch parallel network), designed to effectively handle complex real-world distortions including noise, reverber…