Self-Supervised Speech Quality Estimation and Enhancement Using Only
Clean Speech
Self-Supervised Speech Quality Estimation and Enhancement Using Only
Clean Speech
Speech quality estimation has recently undergone a paradigm shift from human-hearing expert designs to machine-learning models. However, current models rely mainly on supervised learning, which is time-consuming and expensive for label collection. To solve this problem, we propose VQScore, a self-supervised metric for evaluating speech based on the quantization error …