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J. Dolmazon - One of the best experts on this subject based on the ideXlab platform.

  • A functional model of Peripheral Auditory System in speech processing
    ICASSP '77. IEEE International Conference on Acoustics Speech and Signal Processing, 1
    Co-Authors: J. Dolmazon, L. Bastet, V. Shupljakov
    Abstract:

    Peripheral Auditory System model consists of several parts : the first one being representative of the middle-ear whereas the last one takes place at the first neuron level of the Auditory nerve. Experimental data from basilar membrane motion and auditive nerve fiber activity for sinusoidal and click stimuli have been used to define the transfer function of each part. A digital simulation of this model and an analog construction have been investigated and are discussed here. This model reproduces, with a good approximation, the harmonic and transient behavior of the Peripheral Auditory System and allows one to study the transmission of acoustical information towards the higher-level brain centers. Thus, the temporal pattern of basilar membrane motion during speech perception and the kind of frequency analysis occurring at the level of the first neuron layers is explained by the model.

  • ICASSP - Comparison of a model of the Peripheral Auditory System and L.P.C. analysis in a speech recognition System
    ICASSP '84. IEEE International Conference on Acoustics Speech and Signal Processing, 1
    Co-Authors: Y. Dologlou, J. Dolmazon
    Abstract:

    This paper reports on a method for speech recognition using as pre-processing System either a Peripheral Auditory System (PAS) model, or Linear Prediction Coding (LPC). Certain speech recognition problems have been examined using Ficher's Discriminant analysis technic, in order to separate different classes of sounds.

Enrique A. Lopez-poveda - One of the best experts on this subject based on the ideXlab platform.

  • Rate versus time representation of high-frequency spectral notches in the Peripheral Auditory System: A computational modeling study
    Neurocomputing, 2007
    Co-Authors: Enrique A. Lopez-poveda, Ana Alves-pinto, Alan R. Palmer, Almudena Eustaquio-martín
    Abstract:

    A computational model of the Peripheral Auditory System is used to explain the paradoxical observation that discriminating between broadband noise sounds with and without high-frequency spectral notches is more difficult at mid-intensities than at lower or higher intensities [A. Alves-Pinto, E.A. Lopez-Poveda, Detection of high-frequency spectral notches as a function of level, J. Acoust. Soc. Am. 118 (2005) 2485-2469.]. The simulations suggest that the discrimination task in question relies on comparing the timing of Auditory nerve spikes, hence that high-frequency sounds are represented in the Auditory nerve by a time code. They further suggest that the improvement in spectral discrimination at high intensities is associated with inherent inner hair cell nonlinearities.

  • Spectral processing by the Peripheral Auditory System: facts and models.
    International review of neurobiology, 2005
    Co-Authors: Enrique A. Lopez-poveda
    Abstract:

    Publisher Summary This chapter provides a review of the basic characteristics of the response of individual Auditory nerve (AN) fibers to sounds with simple spectra (one and two tones). The chapter discusses fiber types, dynamic range, adaptation, synchronization, frequency selectivity, level dependent rate and phase responses, suppression, and distortion. The chapter also reviews how these characteristics, particularly cochlear-related non-linearities, determine the AN representation of sounds with complex spectra (e.g., speech). Finally, eight representative-phenomenological nonlinear AN models are reviewed and compared with regard to their ability to account for the experimental phenomena described. It is concluded that, despite the reasonable performance of some models, none of them reproduce all physiological characteristics of the AN response. Furthermore, the analysis reveals that different models not only use different approaches but are also validated using different criteria. Comparative studies are timely aimed at contrasting models performance against identical, consented AN phenomena and datasets.

Y. Dologlou - One of the best experts on this subject based on the ideXlab platform.

Manuel S. Malmierca - One of the best experts on this subject based on the ideXlab platform.

  • Auditory Spectral Processing: An Overview
    International Review of Neurobiology, 2005
    Co-Authors: Dexter R. F. Irvine, Manuel S. Malmierca
    Abstract:

    Publisher Summary Detailed spectral information is critically important in the processes of identifying the discrete Auditory objects comprising complex Auditory scenes, in which the sound waves generated by multiple sources come together to form a single complex pressure wave at each eardrum, and of sound localization. The importance of detailed spectral information in the important aspects of human and animal hearing indicates that this information must be encoded in the Peripheral Auditory System and then made available to process in the central Auditory brain pathways, and associated structures that ultimately give rise to the Auditory perceptual experience. The mechanical and neural filtering that occurs in the Peripheral Auditory System underlies the frequency resolution ability exhibited by human and animal listeners. Psychophysical evidence on the frequency resolving ability of human listeners is also reviewed in the chapter. The design of cochlear implants and the processing strategies utilized in them are based on the knowledge of Peripheral spectral processing—that is, understanding of cochlear place and temporal coding mechanisms is applied to the task of electrically stimulating surviving Auditory nerve fibers in the manner that is most effective in evoking normal Auditory percepts.

José Manuel Ferrández-vicente - One of the best experts on this subject based on the ideXlab platform.

  • Low rate stochastic strategy for cochlear implants
    Neurocomputing, 2008
    Co-Authors: Ernesto A. Martínez-rams, Vicente Garcerán-hernández, José Manuel Ferrández-vicente
    Abstract:

    In this article, a variant on low rate stochastic stimulation is presented. This variant shows more physiological characteristics, which are able to help preserving the cochlea due to low rate and low level stimulation. The speech processor here presented is provided with characteristics more similar to the normal Peripheral Auditory System. From the processor's output, neural stimuli, it is possible to estimate both sound intensity per bands or areas of frequency, and the value of the frequencies composing the sound. When there is no sound stimulus, the Peripheral Auditory System generates stochastic stimuli from which it is not possible to extract information on amplitude neither frequency. In this case of clearly random generation of stimuli, the spectrum is noisy on the whole frequency.