3 papers
eess.AS2026
Towards Robust Generative Speech Enhancement Using Vector Quantisation-Based Neural Audio Codec
Haixin Zhao, Nilesh Madhu
This work investigates modelling strategies in continuous and discrete latent spaces in the vector quantisation (VQ)-based neural audio codec (NAC) speech enhancement (SE), along w…
eess.AS2026
Dynamically Slimmable Speech Enhancement Network with Metric-Guided Training
Haixin Zhao, Kaixuan Yang, Nilesh Madhu
To further reduce the complexity of lightweight speech enhancement models, we introduce a gating-based Dynamically Slimmable Network (DSN). The DSN comprises static and dynamic com…
eess.AS2025
Study of Lightweight Transformer Architectures for Single-Channel Speech Enhancement
Haixin Zhao, Nilesh Madhu
In speech enhancement, achieving state-of-the-art (SotA) performance while adhering to the computational constraints on edge devices remains a formidable challenge. Networks integr…