Layer-wise aggregation from wav2vec 2.0 best predicts intelligibility in dysarthric speech, while time-wise aggregation is better for imprecise consonants, harsh voice, and monoloudness.
Besides the ASP meth- ods described earlier, mean pooling without attention is used as a baseline pooling mechanism on the mean layer representations (Exp
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Time vs. Layer: Locating Predictive Cues for Dysarthric Speech Descriptors in wav2vec 2.0
Layer-wise aggregation from wav2vec 2.0 best predicts intelligibility in dysarthric speech, while time-wise aggregation is better for imprecise consonants, harsh voice, and monoloudness.