3 papers
eess.AS2026
CTC-Seeded Token Edit Refinement for Non-Autoregressive Speech Recognition
Wanting Huang, Weiran Wang
Non-autoregressive automatic speech recognition (ASR) enables parallel decoding, but many refinement-based methods begin from random, fully masked, or fixed-length token sequences,…
eess.AS2025
A Neural Model for Contextual Biasing Score Learning and Filtering
Wanting Huang, Weiran Wang
Contextual biasing improves automatic speech recognition (ASR) by integrating external knowledge, such as user-specific phrases or entities, during decoding. In this work, we use a…
cs.SD2025
Improving Audio Event Recognition with Consistency Regularization
Shanmuka Sadhu, Weiran Wang
Consistency regularization (CR), which enforces agreement between model predictions on augmented views, has found recent benefits in automatic speech recognition [1]. In this paper…