Space-domain cross-pattern coherence post-filter for speech enhancement with linear microphone arrays

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This paper evaluates the space-domain cross-pattern coherence (SD-CroPaC) algorithm in speech enhancement applications employing linear microphone arrays. The algorithm computes the normalized cross-spectral density between beamformed signals in the time-frequency domain, which originate from non-overlapping sub-arrays. The resulting post-filter is then applied to the output of another beamformer to suppress interference and background noise. The evaluation was performed with a listening test comprising simulated multi-speaker scenarios. The results clearly show the improved performance achieved by the post-filter compared to a conventional baseline beamformer. Additionally, the listening test results suggest that fine-tuning the filter’s parameters may offer a further performance improvement.
Original languageEnglish
Title of host publicationAudio Engineering Society Convention 2023, 154
PublisherAudio Engineering Society
Number of pages10
ISBN (Electronic)978-1-7138-7778-3
Publication statusPublished - 13 May 2023
MoE publication typeA4 Conference publication
EventAudio Engineering Society Convention - Espoo, Finland
Duration: 13 May 202315 May 2023
Conference number: 154


ConferenceAudio Engineering Society Convention
Abbreviated titleAES


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