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A computational model of human auditory signal processing and perception [PDF]

Journal of the Acoustical Society of America, 2008
A model of computational auditory signal-processing and perception that accounts for various aspects of simultaneous and nonsimultaneous masking in human listeners is presented. The model is based on the modulation filterbank model described by Dau et al. [J. Acoust. Soc. Am.
Morten L Jepsen, Stephan D Ewert, Torsten Dau   +2 more
exaly   +3 more sources

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Auditory processing speed and signal detection in schizophrenia.

Journal of Abnormal Psychology, 1976
Examined 2 differing explanations of schizophrenic processing deficit, J. Chapman and A. McGhie's (1962) and A. J. Yates's (see PA, Vol 41:10769). 32 18-46 yr old schizophrenics, classified on the acute-chronic and paranoid-nonparanoid dimensions, and 8 17-45 yr old neurotics were tested on 2 dichotic listening tasks.
Korboot P.J., Damiani N.
openaire   +4 more sources

A Study of Auditory Modeling and Processing for Speech Signals

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
We study a modified version of a computational model of the human peripheral and central auditory system (Wang, K. and Shamma, S.A., 1995; Yang, X. et al., 1992), and examine the validity of its output from two practical perspectives. One considers the well-known Mel-frequency cepstral coefficients (MFCC) as an approximate representation of the ...
Woojay Jeon, Biing-Hwang Juang
openaire   +1 more source

The computational auditory signal processing and perception model: A revised version [PDF]

Journal of the Acoustical Society of America
This study integrates a non-linear inner hair cell model (IHC) into the computational auditory signal processing and perception (CASP) model [Jepsen, Ewert, and Dau (2008). J. Acoust. Am. 124(1), 422–438]. The integration addresses limitations of its more simplistic predecessor that did not reflect the saturation of the IHC transduction process towards
Helia Relaño-Iborra, Torsten Dau, Lily Cassandra Paulick   +2 more
exaly   +3 more sources

Auditory Signal Processing in Hardware

1999
A digital hardware implementation of an algorithm modelling the “effective” signal processing of the human auditory system is presented in this paper. The model can be used as a preprocessor for speech, for example in automatic speech recognition, objective speech quality measurement, noise reduction and digital hearing aids.
M. Brucke, A. Schulz, W. Nebel
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Processing of acoustic signals in the auditory system of bony fish

The Journal of the Acoustical Society of America, 1988
In order to determine unambiguously the bearing of a sound source, a fish must be able to resolve acoustic pressure and the components of the acoustic displacement vector from the signals detected by the otolithic organs. A new hypothesis for the processing of acoustical information by bony fish is presented.
P H, Rogers, A N, Popper, M C, Hastings, W M, Saidel   +3 more
openaire   +2 more sources

An auditory-based transfrom for audio signal processing

2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009
An auditory-based transform is presented in this paper. Through an analysis process, the transform coverts time-domain signals into a set of filter bank output. The frequency responses and distributions of the filter bank are similar to those in the basilar membrane of the cochlea.
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Auditory signal processing as a basis for speaker recognition

2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), 2004
We exploit models of auditory signal processing at different levels along the auditory pathway for use in speaker recognition. A low-level nonlinear model, at the cochlea, provides accentuated signal dynamics, while a high-level model, at the inferior colliculus, provides frequency analysis of modulation components that reveals an additional temporal ...
T.F. Quatieri, N. Malyska, D.E. Sturim
openaire   +1 more source