2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
ESPnet3: Infrastructure for Scalable Speech and Audio Research in the Foundation Model Era
Masao Someki, Alexander Polok, Carlos Carvalho +14
Recent speech research involves increasingly large datasets, complex models, and diverse experimental workflows. However, existing frameworks require substantial engineering effort…
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…
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…
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…