3 papers
eess.AS2026
Teacher-Free Self-Distilled Consistency Trajectory Learning for Fast Speech Enhancement
Shuubham Ojha, Carol Espy-Wilson
Consistency trajectory models offer a route to fast, high- quality speech enhancement, collapsing the many reverse steps of diffusion-based enhancers into a handful. When instantia…
eess.AS2026
Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework
Shuubham Ojha, Carol Espy-Wilson
Diffusion models show potential for speech enhancement but lack linguistic guidance. We condition a diffusion-based model on wav2vec 2.0 features from noisy input, injected at the…
eess.AS2025
Reverse Attention for Lightweight Speech Enhancement on Edge Devices
Shuubham Ojha, Felix Gervits, Carol Espy-Wilson
This paper introduces a lightweight deep learning model for real-time speech enhancement, designed to operate efficiently on resource-constrained devices. The proposed model levera…