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.