Application Of an Adaptive Auditory Model To Speech Recognition

Authors

  • Jordan R. Cohen

Abstract

An adaptive model of the firing rates found in the auditory nervous system was configured as a signal processor for the IBM speech recognition system. The signal processor was tested on sentences drawn from office correspondence. Several experiments were done in low noise office environments using various microphones and different speakers. The system performance improved substantially compared to performance using a standard signal processor.

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Published

2022-12-03

How to Cite

1.
Cohen JR. Application Of an Adaptive Auditory Model To Speech Recognition. Canadian Acoustics [Internet]. 2022 Dec. 3 [cited 2023 Feb. 8];14(3 bis):8-9. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3497

Issue

Vol. 14 No. 3 bis (1986): Montreal Symposium On Speech Recognition

Section

Proceedings of the Acoustics Week in Canada

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