An autoregressive loop that feeds a spatially selective filter's enhanced output back into a particle filter greatly improves moving-speaker tracking and extraction under only initial-direction guidance.
Continuous speech separation: Dataset and analysis,
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Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance
An autoregressive loop that feeds a spatially selective filter's enhanced output back into a particle filter greatly improves moving-speaker tracking and extraction under only initial-direction guidance.