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News/Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score
arxiv
PublishedJuly 3, 2026 at 4:00 AM
—neutral

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

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Publisher summary· verbatim

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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#speech-processing#machine-learning#audio#robustness

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Source
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arxiv
Read original ↗All from arxiv →
Tags
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#speech-processing#machine-learning#audio#robustness

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