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speaker-tracking

topic2 events
papersTODAY 04:00 UTC

Audio language models track speakers via text backbone attention, study finds

A new study examines how audio language models attribute speech to the correct speaker, finding accuracy of only 6 to 16 percent on a six-speaker task, below random guessing. The authors show that speaker tracking relies on attention heads in the model's text backbone, and that altering a subset of those heads shifts which speaker the model retrieves.

audio/attention/multimodal/research
papersSEP 10 04:00 UTC

Bayesian Tracking Guides Deep Spatial Filters to Extract Moving Speakers in Real Time

Deep spatially selective filters deliver high-quality, real-time speech enhancement for stationary speakers whose directions are known, but they struggle when sources move. A new arXiv paper introduces an autoregressive guidance scheme built on Bayesian speaker tracking that lets these filters follow moving speakers from only their initial positions. The approach preserves the efficiency and enhancement quality of the underlying architecture in dynamic scenes.

speech-enhancement/audio/bayesian-tracking/real-time