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cs.SD2026
Attention-Guided Reliability Scaling for Contrastive Decoding in Robust Audio-Visual Speech Recognition
YoungChae Kim, Da-Hee Yang, Joon-Hyuk Chang
Large language model (LLM)-based audio-visual speech recognition (AVSR) systems are robust under noise. Contrastive decoding (CD), originally introduced to stabilize LLM generation…
eess.AS2026
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…
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…