Journal ArticleDOI
Theory of binaural interaction based on auditory‐nerve data. II. Detection of tones in noise
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TLDR
In this article, a binaural interaction model is described in which the peripheral transduction from acoustical waveforms to firing patterns on the auditory nerves is included explicitly, and the model describes the parametric dependence of masking level differences in almost all available data.Abstract:
A binaural interaction model is described in which the peripheral transduction from acoustical waveforms to firing patterns on the auditory nerves is included explicitly. Quantitative predictions are compared with available data on the binaural detection of low‐frequency tones masked by Gaussian noise. The model describes the parametric dependence of masking‐level differences in almost all available data.read more
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Journal ArticleDOI
Interaural time sensitivity in medial superior olive of cat
Tom C. T. Yin,J. C. K. Chan +1 more
TL;DR: The data suggest that the cells in the MSO behave much like cross-correlators, with computer cross correlations of the monaural spike trains were similar to the ITD curve generated binaurally for both correlated and uncorrelated noise signals to the two ears.
Journal ArticleDOI
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
TL;DR: This article reviews classical and recent developments of adaptive Resonance Theory, and provides a synthesis of concepts, principles, mechanisms, architectures, and the interdisciplinary data bases that they have helped to explain and predict.
DissertationDOI
Prediction-driven computational auditory scene analysis
Daniel P. W. Ellis,Barry Vercoe +1 more
TL;DR: A blackboard-based implementation of the 'prediction-driven' approach is described which analyzes dense, ambient sound examples into a vocabulary of noise clouds, transient clicks, and a correlogram-based representation of wide-band periodic energy called the weft.
Journal ArticleDOI
Speech segregation based on sound localization
TL;DR: In this paper, the authors proposed a supervised learning approach to speech segregation, in which a target speech signal is separated from interfering sounds using spatial localization cues: interaural time differences (ITD) and intra-aural intensity differences (IID).
Journal ArticleDOI
Speech and melody recognition in binaurally combined acoustic and electric hearing
TL;DR: The present study utilizes the residual acoustic hearing in the nonimplanted ear in five cochlear implant users to elucidate the role of temporal fine structure at low frequencies in auditory perception and to test the hypothesis that combined acoustic and electric hearing produces better performance than either mode alone.