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
Link To Document :
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