• DocumentCode
    178874
  • Title

    Perceptually motivated coherence preservation in multi-channel wiener filtering based noise reduction for binaural hearing aids

  • Author

    Marquardt, Daniel ; Hohmann, Volker ; Doclo, Simon

  • Author_Institution
    Dept. of Med. Phys. & Acoust., Univ. of Oldenburg, Oldenburg, Germany
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    3660
  • Lastpage
    3664
  • Abstract
    Besides noise reduction an important objective of binaural speech enhancement algorithms is the preservation of the binaural cues of both desired and undesired sound sources. Recently, an extension of the binaural Multi-channel Wiener filter (MWF), namely the MWF-IC, has been presented, which aims to preserve the Interaural Coherence (IC) of the noise component. Since for the MWF-IC a substantial trade-off between noise reduction and IC preservation exists, in this paper we propose a perceptually constrained version of the MWF-IC, where the amount of IC preservation is controlled based on psychoacoustic criterias of the IC discrimination ability of the human auditory system. In addition, we present a simplified version of the MWF-IC, resulting in a decrease of computational complexity. Experimental results show that the perceptually motivated MWF-IC and its simplified version yield a very similar performance and the loss in intelligibility weighted output SNR compared to the binaural MWF can be limited to 0.5 dB, whereas the spatial separation between the output speech and noise component is increased leading to better perceptual results.
  • Keywords
    Wiener filters; computational complexity; hearing aids; signal denoising; binaural hearing aids; computational complexity; interaural coherence; multichannel Wiener filtering; noise component; noise reduction; output speech; perceptually motivated coherence preservation; Auditory system; Correlation; Integrated circuits; Microphones; Noise; Noise reduction; Speech; Hearing aids; binaural cues; noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854284
  • Filename
    6854284