ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

A speech recognition system using both auditory and afferent pathway signal processing

Eliathamby Ambikairajah, Owen Friel, William Millar

This paper describes an implementation of a speech recognition system using a neural network, originally proposed by Kurogi [1], which is based on findings from the auditory mechanism, including both auditory signal processing and afferent pathway signal processing. A design procedure for a multi-rate cochlear model is described. The model uses a cascade of constant-Q filters. The model covers the bandwidth from 75Hz to 3.55kHz and is used as a pre-processor to the neural network. The neural network reproduces response patterns typical in the auditory system. The network does not use any time-warping and makes no use of the back-propagation algorithm for training. Preliminary results are presented for speaker independent speech recognition experiments carried out using a subset of the British Telecom Sl-Connex database.


Cite as: Ambikairajah, E., Friel, O., Millar, W. (1994) A speech recognition system using both auditory and afferent pathway signal processing. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 1487-1490

@inproceedings{ambikairajah94_icslp,
  author={Eliathamby Ambikairajah and Owen Friel and William Millar},
  title={{A speech recognition system using both auditory and afferent pathway signal processing}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={1487--1490}
}