3 papers
eess.AS2026
Rethinking Language Model-Based Generative Speech Enhancement in the Latent Space of a Neural Audio Codec
Yihui Fu, Zhengyang Li, Tim Fingscheidt
Language model (LM)-based speech enhancement (SE) has recently emerged rapidly using latent space features of neural audio codecs (NACs). In this paper, first, we present a unified…
eess.AS2026
Noise-Robust AV-ASR Using Visual Features Both in the Whisper Encoder and Decoder
Zhengyang Li, Thomas Graave, Björn Möller +3
In audiovisual automatic speech recognition (AV-ASR) systems, information fusion of visual features in a pre-trained ASR has been proven as a promising method to improve noise robu…
cs.CV2025
OpenViGA: Video Generation for Automotive Driving Scenes by Streamlining and Fine-Tuning Open Source Models with Public Data
Björn Möller, Zhengyang Li, Malte Stelzer +4
Recent successful video generation systems that predict and create realistic automotive driving scenes from short video inputs assign tokenization, future state prediction (world m…