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GEAR: Generative Evaluation of Audio by Vincent Lostanlen is a document available to read on EtoBox.
What is GEAR: Generative Evaluation of Audio about?
The document proposes a new evaluation framework called GEAR (Generative Evaluation of Audio Representations) as a complement to the existing HEAR (Holistic Evaluation of Audio Representations) benchmark. GEAR aims to visualize and analyze audio representations using a synthetically generated dataset with known independent factors of variability. Representations are compared based on the structure of nearest neighbor graphs from unsupervised manifold learning on the embeddings, revealing differences in thei
- Author
- Vincent Lostanlen
- Language
- EN