Pseudo-Coherence-Based MVDR Beamformer for Speech Enhancement with Ad Hoc Microphone Arrays

Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Mads Græsbøll Christensen, Jacob Benesty

Research output: Contribution to journalConference article in Journal

8 Citations (Scopus)


Speech enhancement with distributed arrays has been met with various methods. On the one hand, data independent methods require information about the position of sensors, so they are not suitable for dynamic geometries. On the other hand, Wiener-based methods cannot assure a distortionless output. This paper proposes minimum variance distortionless response filtering based on multichannel pseudo-coherence for speech enhancement with ad hoc microphone arrays. This method requires neither position information nor control of the trade-off used in the distortion weighted methods. Furthermore, certain performance criteria are derived in terms of the pseudo-coherence vector, and the method is compared with the multichannel Wiener filter. Evaluation shows the suitability of the proposed method in terms of noise reduction with minimum distortion in ad hoc scenarios.
Original languageEnglish
Article number07178453
JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Pages (from-to)2659-2663
Number of pages5
Publication statusPublished - 19 Apr 2015
Event40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015
Conference number: 2015


Conference40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015



  • noise reduction
  • speech enhancement
  • distributed microphone arrays
  • short-time Fourier transform
  • MVDR filter

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