Spatial post-filter estimation based on low-order beamformers

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This paper investigates the Cross-Pattern Coherence (CroPaC) algorithm using low-order beamformers to esti- mate a parametric spatial post-filter. The algorithm utilizes a coherence-based measure between the output of microphone signals and beamformers. The obtained spatial post-filter assigns attenuation values in the time- frequency domain, which results in the modulation of a microphone signal or the output signal of a beamformer. In this work, four microphones are used to create beamformers with different look directions to estimate the spatial post-filter for different directions. The low number of microphones makes it feasible for usage in mobile devices such as smartphones or hearing aid devices. A conventional delay-and-sum beamformer and the micro- phone signals are used to apply the estimated spatial post-filter. The performance evaluation is conducted by creating multi-speaker scenarios with different background noise levels. The algorithm is tested with different microphone positions suitable for usage in smartphones. Compared to commonly used beamforming techniques, the method shows improvement in background noise reduction and suppression of interfering sound sources.
Original languageEnglish
Title of host publicationProceedings of the 24th International Congress on Acoustics: A13: Signal Processing
PublisherAcoustical Society of Korea (ASK)
Number of pages9
Publication statusPublished - 31 Oct 2022
MoE publication typeA4 Conference publication
EventInternational Congress on Acoustics - Hwabaek International Convention Center (HICO), Gyeongju, Korea, Republic of
Duration: 24 Oct 202228 Oct 2022
Conference number: 24

Publication series

NameProceedings of the ICA congress
ISSN (Electronic)2415-1599


ConferenceInternational Congress on Acoustics
Abbreviated titleICA2022
Country/TerritoryKorea, Republic of
Internet address


  • Spatial Post-Filter
  • interference suppression
  • Noise Reduction
  • Differential Microphone Array


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