2025
Distillation and Pruning for Scalable Self-Supervised Representation-Based Speech Quality Assessment
ICASSP 2025accepted
In this paper, we investigate distillation and pruning methods to reduce model size for non-intrusive speech quality assessment based on self-supervised representations. Our experiments build on XLS-R-SQA, a speech quality assessment model using wav2vec 2.0 XLS-R embeddings. We retrain this model on…