Connectionist Models for Auditory Scene Analysis

Although the visual and auditory systems share the same basic tasks of informing an organism about its environment, most connectionist work on hearing to date has been devoted to the very different problem of speech recognition. We believe that the most fundamental task of the auditory system is the analysis of acoustic signals into components corresponding to individual sound sources, which Bregman has called auditory scene analysis. Computational and connectionist work on auditory scene analysis is reviewed, and the outline of a general model that includes these approaches is described.

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

[2]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[3]  Richard F. Lyon A computational model of binaural localization and separation , 1983, ICASSP.

[4]  J. Allen,et al.  Cochlear modeling , 1985, IEEE ASSP Magazine.

[5]  Mitchel Weintraub,et al.  A theory and computational model of auditory monaural sound separation , 1985 .

[6]  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.

[7]  R K Clifton Breakdown of echo suppression in the precedence effect. , 1987, The Journal of the Acoustical Society of America.

[8]  Patrick M. Zurek,et al.  The Precedence Effect , 1987 .

[9]  Richard F. Lyon,et al.  An analog electronic cochlea , 1988, IEEE Trans. Acoust. Speech Signal Process..

[10]  W. Hartmann Pitch Perception and the Segregation and Integration of Auditory Entities , 1988 .

[11]  M. Konishi,et al.  Axonal delay lines for time measurement in the owl's brainstem. , 1988, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Whitman A. Richards Natural Computation , 1988 .

[13]  John Lazzaro,et al.  A Silicon Model Of Auditory Localization , 1989, Neural Computation.

[14]  R. F. Lyon,et al.  Correlograms and the Separation of Sounds , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[15]  M. Reed,et al.  A model for the computation and encoding of azimuthal information by the lateral superior olive. , 1990, The Journal of the Acoustical Society of America.

[16]  D. M. Green,et al.  Sound localization by human listeners. , 1991, Annual review of psychology.

[17]  Y. Han,et al.  A neural cell model of MSO , 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.

[18]  Francesco Palmieri,et al.  Sound localization with a neural network trained with the multiple extended Kalman algorithm , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[19]  R. K. Clifton,et al.  Dynamic processes in the precedence effect. , 1991, The Journal of the Acoustical Society of America.

[20]  Francesco Palmieri,et al.  An artificial neural network for studying binaural sound localization , 1991, Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference.

[21]  John Wawrzynek,et al.  Silicon Auditory Processors as Computer Peripherals , 1992, NIPS.

[22]  E D Young,et al.  Neural network models of sound localization based on directional filtering by the pinna. , 1992, The Journal of the Acoustical Society of America.

[23]  David K. Mellinger,et al.  Event formation and separation in musical sound , 1992 .

[24]  Guy J. Brown Computational auditory scene analysis : a representational approach , 1993 .

[25]  Daniel P. W. Ellis,et al.  Hierarchic models of hearing for sound separation and reconstruction , 1993, Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

[26]  N. Bhadkamkar,et al.  A sound localization system based on biological analogy , 1993, IEEE International Conference on Neural Networks.

[27]  M. Cynader,et al.  A computational theory of spectral cue localization , 1993 .

[28]  Martin Cooke,et al.  Modelling auditory processing and organisation , 1993, Distinguished dissertations in computer science.

[29]  Richard F. Lyon,et al.  On the importance of time—a temporal representation of sound , 1993 .