Yu Tsao

The ISCSLP 2026 Real-World Audio-Visual Speech Enhancement Challenge

Grounded Decoding for Autoregressive Speech Enhancement via Adaptive Code-Space Grounding and Local LLM Refinement

An evidence-grounded generative SE framework that uses a deterministic estimate as imperfect evidence as imperfect evidence is proposed and SNR-Conditioned CSG (SNR-CSG), which maps a calibrated residual-SNR estimate to an utterance-level strength and constructs an adaptive grounded anchor is introduced.

End-to-End Neural Decomposition with Koopman Operators for Time-Series Forecasting

This study proposes an end-to-end architecture that integrates a learnable signal decomposition module with both frequency-independent and frequency-dependent Koopman based networks for sequence forecasting and demonstrates that decomposing a signal into a frequency-independent trend component and a frequency-dependent...