A Sound Localizer Robust to Reverberation

This paper proposes an intelligent acoustic sensor able to localize sound sources in acoustic environments with strong reverberation. The proposed system is inspired on the precedence effect used by the human auditory system and uses only two acoustic sensors. It implements a modified version of the algorithm proposed by Huang that uses the precedence effect in order to achieve robust sound localization even in reverberant environments. The localization system was impletented in a C31 DSP for real time demonstration and several experiments were performed showing the validity of our solution. Finally, the paper also proposes a method to estimate on-line the decay of the reverberation, using the received sound signals, only.

[1]  W. Gaik,et al.  Combined evaluation of interaural time and intensity differences: psychoacoustic results and computer modeling. , 1993, The Journal of the Acoustical Society of America.

[2]  W. Lindemann Extension of a binaural cross-correlation model by contralateral inhibition. II. The law of the first wave front. , 1986, The Journal of the Acoustical Society of America.

[3]  William M. Hartmann,et al.  How we localize sound , 1999 .

[4]  J. Hassab,et al.  Optimum estimation of time delay by a generalized correlator , 1979 .

[5]  L A JEFFRESS,et al.  A place theory of sound localization. , 1948, Journal of comparative and physiological psychology.

[6]  Jie Huang,et al.  Sound localization in reverberant environment based on the model of the precedence effect , 1997 .

[7]  Horst-Michael Groß,et al.  Binaural sound localization in an artificial neural network , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[8]  P M Hofman,et al.  Spectro-temporal factors in two-dimensional human sound localization. , 1998, The Journal of the Acoustical Society of America.

[9]  Christophe Ris,et al.  Model-based blind estimation of reverberation time: application to robust ASR in reverberant environments , 2001, INTERSPEECH.

[10]  J. Blauert Spatial Hearing: The Psychophysics of Human Sound Localization , 1983 .

[11]  Jie Huang,et al.  Echo avoidance in a computational model of the precedence effect , 1999, Speech Commun..

[12]  Jie Huang,et al.  A model-based sound localization system and its application to robot navigation , 1999, Robotics Auton. Syst..

[13]  W. Lindemann Extension of a binaural cross-correlation model by contralateral inhibition. I. Simulation of lateralization for stationary signals. , 1986, The Journal of the Acoustical Society of America.

[14]  Hans Werner Strube,et al.  Computer Speech: Recognition, Compression, Synthesis (Springer Series in Information Sciences) , 2004 .

[15]  M. Bodden Binaural modeling and auditory scene analysis , 1995, Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Accoustics.

[16]  Paul M. Hofman,et al.  Identification of Spectral Features as Sound Localization Cues in the External Ear Acoustics , 1997, IWANN.