Article

Statistical, Multi-scale and Attention-based Layer Pooling of Wav2Vec-2 Speech Embeddings for Parkinson’s Disease Detection

2025-09-15

Abstract excerpt

Self-supervised pre-trained speech models such as wav2vec 2.0 provide rich frame-level embeddings that are increasingly used for clinical voice screening, including Parkinson’s disease (PD). Optimally aggregating the frame-level embeddings is a significant task, with the underexplored question of how to best aggregate the frame-level embeddings into fixed-length utterance descriptors for the downstream task of bin...

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Literature Corpus work: 0930baf4-1856-521b-9786-26cea6f39947
DOI: 10.1101/2025.09.13.25335694

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