Auditory images:How complex sounds are represented in the auditory system

When an event occurs in the world around us, say a lion roars or a cat meows, information about the event flows to us in light waves and sound waves.Our eyes form a visual image of the event, our ears form an auditory image of the event, and the two are combined with any other sensory inputs to produce our initial experience of the event.The purpose of this paper is to describe:1)the three natural categories of sounds:noises, transients, and tones, 2)a computer model designed to explain how the auditory system converts sounds into auditory images, 3)the characteristics of the auditory images of noises, transients and tones, and 4)the role of auditory image construction in the initial segregation of tones and noises.

[1]  B. Moore,et al.  Decrement detection in normal and impaired ears. , 1991, The Journal of the Acoustical Society of America.

[2]  W A Yost,et al.  The perceptual tone/noise ratio of merged iterated rippled noises. , 2000, The Journal of the Acoustical Society of America.

[3]  Roy D. Patterson,et al.  The relative strength of the tone and noise components in iterated rippled noise , 1996 .

[4]  Brian R Glasberg,et al.  Derivation of auditory filter shapes from notched-noise data , 1990, Hearing Research.

[5]  L. Carney,et al.  Temporal coding of resonances by low-frequency auditory nerve fibers: single-fiber responses and a population model. , 1988, Journal of neurophysiology.

[6]  D. D. Greenwood.  A cochlear frequency-position function for several species--29 years later. , 1990, The Journal of the Acoustical Society of America.

[7]  Richard F. Lyon,et al.  Computational models of neural auditory processing , 1984, ICASSP.

[8]  Ray Meddis,et al.  Virtual pitch and phase sensitivity of a computer model of the auditory periphery , 1991 .

[9]  Roy D. Patterson,et al.  The sound of a sinusoid: Time‐interval models , 1994 .

[10]  R. Patterson,et al.  A pulse ribbon model of monaural phase perception. , 1987, The Journal of the Acoustical Society of America.

[11]  E. de Boer,et al.  Synthetic whole‐nerve action potentials for the cat , 1975 .

[12]  R D Patterson,et al.  Modeling temporal asymmetry in the auditory system. , 1998, The Journal of the Acoustical Society of America.

[13]  W A Yost,et al.  The role of the envelope in processing iterated rippled noise. , 1998, The Journal of the Acoustical Society of America.

[14]  Richard S. J. Frackowiak,et al.  Analysis of temporal structure in sound by the human brain , 1998, Nature Neuroscience.

[15]  E. de Boer,et al.  On cochlear encoding: Potentialities and limitations of the reverse‐correlation technique , 1978 .

[16]  N. Viemeister.  Temporal modulation transfer functions based upon modulation thresholds. , 1979, The Journal of the Acoustical Society of America.

[17]  W A Yost,et al.  A time domain description for the pitch strength of iterated rippled noise. , 1996, The Journal of the Acoustical Society of America.

[18]  Q. Summerfield,et al.  Modeling the perception of concurrent vowels: vowels with different fundamental frequencies. , 1990, The Journal of the Acoustical Society of America.

[19]  Roy D. Patterson,et al.  A GAMMACHIRP PERSPECTIVE OF COCHLEAR MECHANICS THAT CAN ALSO EXPLAIN HUMAN AUDITORY MASKING QUANTITATIVELY , 2000 .

[20]  L. Carney,et al.  Frequency glides in the impulse responses of auditory-nerve fibers. , 1999 .

[21]  Richard F. Lyon,et al.  A perceptual pitch detector , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[22]  Roy D. Patterson,et al.  The sound of a sinusoid: Spectral models , 1994 .

[23]  Roy D. Patterson,et al.  Stabilised wavelet mellin transform: an auditory strategy for normalising sound-source size , 1999, EUROSPEECH.

[24]  Richard J. Baker,et al.  Characterising auditory filter nonlinearity , 1994, Hearing Research.

[25]  R. Patterson,et al.  The deterioration of hearing with age: frequency selectivity, the critical ratio, the audiogram, and speech threshold. , 1982, The Journal of the Acoustical Society of America.

[26]  R. Patterson,et al.  Time-domain modeling of peripheral auditory processing: a modular architecture and a software platform. , 1995, The Journal of the Acoustical Society of America.

[27]  R. Patterson,et al.  Complex Sounds and Auditory Images , 1992 .

[28]  T. Irino,et al.  A time-domain, level-dependent auditory filter: The gammachirp , 1997 .

[29]  T. Irino,et al.  Temporal asymmetry in the auditory system. , 1996, The Journal of the Acoustical Society of America.