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Image Credit: Arxiv

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance

  • Recent research focuses on deep non-linear spatially selective filters for enhancing moving speakers efficiently.
  • Traditional deep filters excel with known-direction stationary speakers, but struggle with moving speakers without extra tracking algorithms.
  • A new method combines a simple particle filter with temporal feedback to enhance speech signals and improve tracking accuracy in dynamic scenarios.
  • Evaluation shows the proposed self-steering pipeline outperforms other methods, making it a promising solution for real-time speech enhancement.

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