• DocumentCode
    2150337
  • Title

    Improving head-related impulse response measured in noisy environments with spatio-temporal frequency analysis

  • Author

    Nishino, Takanori ; Takeda, Kazuya

  • Author_Institution
    Grad. Sch. of Eng., Mie Univ., Tsu, Japan
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    A new noise reduction method based on spatio-temporal frequency analysis is proposed that can be applied to head-related impulse response (HRIR), which is an impulse response between the sound source and the ear canal entrance. HRIR measurement is some times conducted in spaces which are not free fields, such as sound proof chambers with low reverberation. Conventional noise reduction methods such as synchronous averaging need multiple measurements under an identical measurement condition. However, taking many measurements requires much time, and subjects must be patient. Therefore, a noise reduction method which requires fewer measurements is needed. In our proposed method, noises are sup pressed using a two-dimensional filter that is designed in the spatio temporal frequency domain. Two experiments were conducted to improve the signal-to-noise ratio (SNR). The maximum SNR improvement achieved 1.28 dB, and the HRIRs measured in high reverberation were also improved, indicating that the proposed method effectively improved HRIRs without multiple measurements.
  • Keywords
    filtering theory; frequency-domain analysis; signal denoising; transient response; HRIR; SNR; gain 1.28 dB; head-related impulse response; noise reduction method; noise suppression; signal-to-noise ratio; soundproof chamber; spatio-temporal frequency domain analysis; synchronous averaging; two-dimensional filter; Azimuth; Frequency domain analysis; Noise measurement; Reverberation; Signal to noise ratio; head-related impulse response (HRIR); head-related transfer function (HRTF); improvement of signal-to-noise ratio; spatio-temporal frequency analysis; two-dimensional Fourier transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946401
  • Filename
    5946401