Parametric microphone array spatial filter based on cross-pattern coherence

Symeon Delikaris-Manias, Ville Pulkki

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


In this study, we propose an implementation of the cross-pattern coherence (CroPaC) spatialfiltering technique. This parametric algorithm utilizes the normalized cross-spectral density between signals from microphones of different orders as a criterion for focusing in specific directions and is implemented by using directional microphones placed in the same look direction and have the same magnitude and phase response. A spatial-filter is calculated from a multichannel input and is used to assign attenuation values to a coincidentally captured audio signal. The proposed algorithm is simple to implement and offers the capability of coping with interfering sources at different azimuthal locations with or without the presence of diffuse sound. In contrary to previous techniques, which rely on the performance of the beamformer for source focusing, CroPaC provides additional beamforming capabilities with increased performance at low frequencies. Significant improvement is demonstrated over traditional beamforming techniques in terms of noise reduction and focusing capabilities. Sound examples of the algorithm can be fond online in

Original languageEnglish
Title of host publicationForum Acusticum, FA 2014
Number of pages4
ISBN (Electronic)9788361402282
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventForum Acusticum - Kraków, Poland
Duration: 7 Sep 201412 Sep 2014
Conference number: 7


ConferenceForum Acusticum
Abbreviated titleFA

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