12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

The Representation of Speech in a Nonlinear Auditory Model: Time-Domain Analysis of Simulated Auditory-Nerve Firing Patterns

Guy J. Brown (1), Tim Jürgens (2), Ray Meddis (3), Matthew Robertson (1), Nicholas R. Clark (3)

(1) University of Sheffield, UK
(2) Carl von Ossietzky Universität Oldenburg, Germany
(3) University of Essex, UK

A nonlinear auditory model is appraised in terms of its ability to encode speech formant frequencies in the fine time structure of its output. It is demonstrated that groups of model auditory nerve (AN) fibres with similar interpeak intervals accurately encode the resonances of synthetic three-formant syllables, in close agreement with physiological data. Acoustic features are derived from the interpeak intervals and used as the input to a hidden Markov model-based automatic speech recognition system. In a digits-in-noise recognition task, interval-based features gave a better performance than features based on AN firing rate at every signal-to-noise ratio tested.

Full Paper

Bibliographic reference.  Brown, Guy J. / Jürgens, Tim / Meddis, Ray / Robertson, Matthew / Clark, Nicholas R. (2011): "The representation of speech in a nonlinear auditory model: time-domain analysis of simulated auditory-nerve firing patterns", In INTERSPEECH-2011, 2453-2456.