AN ADAPTIVE COCHLEAR MODEL FOR SPEECH RECOGNITION

Eliathamby Ambikairajah; Liam Kilmartin

AN ADAPTIVE COCHLEAR MODEL FOR SPEECH RECOGNITION

Eliathamby Ambikairajah, Liam Kilmartin

Limerick Institute of Technology

Research output: Contribution to conference (Published) › Paper › peer-review

4 Citations (Scopus)

Abstract

This paper describes an adaptive cochlear model, in which the basilar membrane is modelled as a cascade of 128 digital filters, covering the frequency band from 70 Hz to 3.4 kHz. The output of the inner hair cell of each filter is used to vary the coefficients of that filter so that its Q-factor is modified.Thus, for a low-amplitude stimulus, the Q-factor is increased, while it is decreased for a high-amplitude stimulus. This modification takes place at a rate which simulates the continuous adaptation of the basilar membrane. Results are presented for sinusoidal stimuli of different amplitudes, and also for speech input signals.

Original language	English
Pages	1331-1334
Number of pages	4
Publication status	Published - 1991
Externally published	Yes
Event	2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991 - Genova, Italy Duration: 24 Sep 1991 → 26 Sep 1991

Conference

Conference	2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991
Country/Territory	Italy
City	Genova
Period	24/09/91 → 26/09/91

Keywords

Auditory modelling
speech processing

Cite this

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title = "AN ADAPTIVE COCHLEAR MODEL FOR SPEECH RECOGNITION",

abstract = "This paper describes an adaptive cochlear model, in which the basilar membrane is modelled as a cascade of 128 digital filters, covering the frequency band from 70 Hz to 3.4 kHz. The output of the inner hair cell of each filter is used to vary the coefficients of that filter so that its Q-factor is modified.Thus, for a low-amplitude stimulus, the Q-factor is increased, while it is decreased for a high-amplitude stimulus. This modification takes place at a rate which simulates the continuous adaptation of the basilar membrane. Results are presented for sinusoidal stimuli of different amplitudes, and also for speech input signals.",

keywords = "Auditory modelling, speech processing",

author = "Eliathamby Ambikairajah and Liam Kilmartin",

note = "Publisher Copyright: {\textcopyright} 2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991.; 2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991 ; Conference date: 24-09-1991 Through 26-09-1991",

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T1 - AN ADAPTIVE COCHLEAR MODEL FOR SPEECH RECOGNITION

AU - Ambikairajah, Eliathamby

AU - Kilmartin, Liam

N1 - Publisher Copyright: © 2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991.

PY - 1991

Y1 - 1991

N2 - This paper describes an adaptive cochlear model, in which the basilar membrane is modelled as a cascade of 128 digital filters, covering the frequency band from 70 Hz to 3.4 kHz. The output of the inner hair cell of each filter is used to vary the coefficients of that filter so that its Q-factor is modified.Thus, for a low-amplitude stimulus, the Q-factor is increased, while it is decreased for a high-amplitude stimulus. This modification takes place at a rate which simulates the continuous adaptation of the basilar membrane. Results are presented for sinusoidal stimuli of different amplitudes, and also for speech input signals.

AB - This paper describes an adaptive cochlear model, in which the basilar membrane is modelled as a cascade of 128 digital filters, covering the frequency band from 70 Hz to 3.4 kHz. The output of the inner hair cell of each filter is used to vary the coefficients of that filter so that its Q-factor is modified.Thus, for a low-amplitude stimulus, the Q-factor is increased, while it is decreased for a high-amplitude stimulus. This modification takes place at a rate which simulates the continuous adaptation of the basilar membrane. Results are presented for sinusoidal stimuli of different amplitudes, and also for speech input signals.

KW - Auditory modelling

KW - speech processing

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M3 - Paper

AN - SCOPUS:85069004022

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T2 - 2nd European Conference on Speech Communication and Technology, EUROSPEECH 1991

Y2 - 24 September 1991 through 26 September 1991

ER -

AN ADAPTIVE COCHLEAR MODEL FOR SPEECH RECOGNITION

Abstract

Conference

Keywords

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