• DocumentCode
    2809047
  • Title

    Estimating direct-to-reverberant energy ratio based on spatial correlation model segregating direct sound and reverberation

  • Author

    Hioka, Yusuke ; Niwa, Kenta ; Sakauchi, Sumitaka ; Furuya, Ken´ichi ; Haneda, Yoichi

  • Author_Institution
    NTT Cyber Space Labs., NTT Corp., Tokyo, Japan
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    A new approach for estimating the direct-to-reverberant energy ratio (DRR) using a microphone array is proposed. The method is based on a model of a spatial correlation matrix that segregates direct sound and reverberation. It estimates DRR from the power spectra of both components, which are derived from the correlation matrix of the observed signal. In experiments performed in simulated and actual reverberant environments, the proposed method mostly succeeded in estimating DRR accurately. We also present speech enhancement using binary masking as an example of an application of the estimated DRR. By utilization of the DRR as a factor to discriminate the distances of speakers, separation of speech signals whose sources were located in the same direction but at different distances was achieved.
  • Keywords
    microphone arrays; reverberation; source separation; speech; speech enhancement; speech intelligibility; direct sound; direct-to-reverberant energy ratio; masking; microphone array; reverberation; spatial correlation matrix; speakers; speech enhancement; speech signal separation; Acoustic reflection; Auditory system; Degradation; Humans; Laboratories; Loudspeakers; Microphone arrays; Performance evaluation; Reverberation; Speech enhancement; direct-to-reverberant energy ratio; microphone array; sound source distance; spatial correlation matrix; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496103
  • Filename
    5496103