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Quieter Than the Room: Representation Drift and Task Robustness in Speech Encoders
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Vsevolod Kovalev, Pranay Manocha

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ResearcharXiv cs.CL

Quieter Than the Room: Representation Drift and Task Robustness in Speech Encoders

arXiv:2609.27195v1 Announce Type: cross Abstract: Non-speech interference can change a speech representation without causing comparable task loss. We test eight frozen encoders on four tasks, adding non-speech sounds throughout recordings, during speech, or in pauses. Under whole-recording interference, embedding drift tracks task loss across seven sounds, with mean Spearman correlations of 0.81-0.88. Moving the same sound between speech and pauses changes this pattern. At quiet to moderate levels, pause interference produces larger drift, while speech interference usually causes greater loss on intent recognition, speaker verification and speech recognition. Emotion recognition shows a weaker placement effect. Pause interference also changes speech-frame representations beyond the injected region. Even below the estimated recording background, interference can change embeddings as much as repeated speech takes do. Drift helps rank the effects of different sounds, but larger drift does not consistently indicate greater task loss.

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This story was published by arXiv cs.CL and written by Vsevolod Kovalev, Pranay Manocha. SyncAI.news shows a preview; the complete article is on the publisher's site.

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