Data-driven Sound Interpretation: its Application to Voiced Sounds.

As part of an investigation of how sound processing may be driven by the characteristics of the sound, we consider the processing of voiced sounds. We consider the (physical) parameters characterising such sounds, how these map into the perceptual space, and how early auditory processing may perform this mapping. The way in which the auditory system is sensitive to phase relationships between nearby harmonics is investigated using using computer generated stimuli in which phase differences between the partiais alter only the amplitude modulation envelope. The results fit with a model in which cochlear nucleus neurons detect this amplitude modulation.

[1]  J. Smurzyński,et al.  Pitch identification and discrimination for complex tones with many harmonics , 1990 .

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

[3]  M. Sachs,et al.  Classification of unit types in the anteroventral cochlear nucleus: PST histograms and regularity analysis. , 1989, Journal of neurophysiology.

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

[5]  Oded Ghitza.  Auditory models and human performance in tasks related to speech coding and speech recognition , 1994 .

[6]  F. Berthommier,et al.  A computational model for amplitude modulation extraction and analysis of simultaneous amplitude modulated signals , 1994 .

[7]  R. Meddis,et al.  A computer model of amplitude-modulation sensitivity of single units in the inferior colliculus. , 1994, The Journal of the Acoustical Society of America.

[8]  B. Moore.  An Introduction to the Psychology of Hearing , 1977 .

[9]  P. Dallos.  The active cochlea , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[10]  Leslie S. Smith.  Sound segmentation using onsets and offsets , 1994 .

[11]  Carver Mead,et al.  Analog VLSI and neural systems , 1989 .

[12]  Piero Cosi,et al.  On the use of auditory models in speech technology , 1993 .

[13]  R Meddis,et al.  Modeling the identification of concurrent vowels with different fundamental frequencies. , 1992, The Journal of the Acoustical Society of America.

[14]  D. O. Kim,et al.  Responses of DCN-PVCN neurons and auditory nerve fibers in unanesthetized decerebrate cats to AM and pure tones: Analysis with autocorrelation/power-spectrum , 1990, Hearing Research.

[15]  R Meddis,et al.  A computer model of a cochlear-nucleus stellate cell: responses to amplitude-modulated and pure-tone stimuli. , 1992, The Journal of the Acoustical Society of America.

[16]  William W. Gaver.  What in the World Do We Hear? An Ecological Approach to Auditory Event Perception , 1993 .

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