DAMOS: Learning Distortion-Aware Speech Quality Assessment through Explicit Distortion Localization
Automatic speech quality assessment aims to predict Mean Opinion Scores (MOS) consistent with human subjective perception and is essential for evaluating speech generation, enhancement, and communication systems. For speech signals, especially synthetic speech, distortions often occur locally, and overall perceptual quality is usually dominated by a small number of perceptually salient distortion regions. However, most existing methods are primarily optimized with utterance-level MOS, which provides only coarse-grained supervision and offer no explicit indication of where perceptually important distortions occur. To address this limitation, we introduce explicit distortion localization as...
| Authors | Naiyuan Li, Li Dong, Diqun Yan |
|---|---|
| Primary category | cs.SD |
| Published | 21 August 2026 |
| Last updated at source | 21 August 2026 |
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