A dual-branch pooling method, DRASP, combines global statistics with segment-level attention and improves MOS prediction correlation with human ratings.
Exploring the encoding layer and loss function in end-to-end speaker and language recognition system,
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DRASP: A Dual-Resolution Attentive Statistics Pooling Framework for Automatic MOS Prediction
A dual-branch pooling method, DRASP, combines global statistics with segment-level attention and improves MOS prediction correlation with human ratings.