Enhancement of Sound Sources Located within a Particular Area Using a Pair of Small Microphone Arrays
Pages 561 - 574
Abstract
A method for extracting a sound signal from a particular area that is surrounded by multiple ambient noise sources is proposed. This method performs several fixed beamformings on a pair of small microphone arrays separated from each other to estimate the signal and noise power spectra. Noise suppression is achieved by applying spectrum emphasis to the output of fixed beamforming in the frequency domain, which is derived from the estimated power spectra. In experiments performed in a room with reverberation, this method succeeded in suppressing the ambient noise, giving an SNR improvement of more than 10 dB, which is better than the performance of the conventional fixed and adaptive beamforming methods using a large-aperture microphone array. We also confirmed that this method keeps its performance even if the noise source location changes continuously or abruptly.
References
[1]
M. Brandstein and D. Ward, Microphone Arrays, Springer-Verlag, Berlin, 2001.
[2]
D.H. Johnson and D.E. Dedgeon, Array Signal Processing, PTRP Prentice Hall, 1993.
[3]
M. Aoki, M. Okamoto, S. Aoki, H. Matsui, T. Sakurai, and Y. Kaneda, “Source segregation based on estimating incident angle of each frequency component of input signals acquired by multiple microphones,” Acoustical Science and Technology, vol.22, no.2, pp.149–157, 2001.
[4]
R.A. Kennedy, T.D. Abhayapala, and D.B. Ward, “Broadband nearfield beamforming using a radial beampattern transformation,” IEEE Trans. Signal Process., vol.46, no.8, pp.2147–2156, 1998.
[5]
H. Nomura, Y. Kaneda, and J. Kojima, “Microphone array for near sound field,” J. Acoust. Soc. Jpn., vol.53, no.2, pp.110–116, 1997.
[6]
J.G. Ryan and R.A. Goubran, “Near-field beamforming for microphone arrays,” Proc. ICASSP1997, pp.363–366, 1997.
[7]
J.G. Ryan and R.A. Goubran, “Array optimization applied in the near field of a microphone array,” IEEE Trans. Speech Audio Process., vol.8, no.2, pp.173–176, 2000.
[8]
J.G. Ryan and R.A. Goubran, “Application of near-field optimum microphone arrays to hands-free mobile telephony,” IEEE Trans. Veh. Technol., vol.52, no.2, pp.390–400, 2003.
[9]
O.L. Frost, “An algorithm for linearly constrained adaptive array processing,” Proc. IEEE, vol.60, no.8, pp.926–935, 1972.
[10]
Y.R. Zheng and R.A. Goubran, “Robust near-field adaptive beamforming with distance discrimination,” IEEE Trans. Speech Audio Process., vol.12, no.5, pp.478–488, 2004.
[11]
A. Ando, M. Iwaki, K. Ono, and K. Kurozumi, “Separation of sound sources propagated in the same direction,” IEICE Trans. Fundamentals, vol.E88-A, no.7, pp.1665–1672, July 2005.
[12]
H. Kuttruff, Room Acoustics, Elsevier Science Publishers Ltd., New York, 1991.
[13]
C.L. Lawson and R.J. Hanson, Solving Least Squares Problems, Prentice-Hall, 1974.
[14]
J.S. Lim and A.V. Oppenheim, “Enhancement and bandwidth compression of noisy speech,” Proc. IEEE, vol.67, no.12, pp.1586–1604, 1979.
[15]
S. Sakauchi, Y. Haneda, and A. Kataoka, “Gain emphasis method for echo reduction based on a short-time spectral amplitude estimation,” IEICE Trans. Fundamentals (Japanese Edition), vol.J88-A, no.6, pp.695–703, June 2005.
[16]
M. Aoki, K. Furuya, and A. Kataoka, “Improvement of “SAFIA” source separation method under reverberant conditions,” Electron. Commun. Jpn. 3, Fundam. Electron. Sci., vol.89, no.3, pp.22–37, 2006.
[17]
S. Araki, H. Sawada, R. Mukai, and S. Makino, “Underdetermined sparse source separation of convolutive mixtures with observation vector clustering,” Proc. ISCAS 2006, pp.21–24, 2006.
[18]
IEEE standard 269-2001, “Draft standard methods for measuring transmission performance of analog and digital telephone sets, handsets and headsets.”
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Copyright © Copyright © 2008 The Institute of Electronics, Information and Communication Engineers.
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Oxford University Press, Inc.
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Published: 01 February 2008
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