Oldrich Plchot

HPQ: A Hybrid Framework for Joint Pruning and Quantization of Self-Supervised Speech Models

Despite achieving state-of-the-art accuracy in speaker verification (SV), large-scale self-supervised learning (SSL) speech models remain difficult to deploy on edge devices because of their computational and memory demands. Existing compression approaches improve efficiency through pruning and quantization, but usuall...