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arXiv Machine Learning By Yang Xiang, Philipp G\"otz, Emanu\"el A. P. Habets, Andreas Walther, Wenwu Wang, Philip J. B. Jackson

Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score

Read the original on arXiv Machine Learning →

arXiv:2607. 01527v1 Announce Type: cross Abstract: Room embeddings derived from reverberant speech are often unreliable: speech content and recording degradation can alter the representation even when speaker, room, and source-receiver geometry remain unchanged, degrading downstream task performance.

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