Abstract
A biologically plausible algorithm is proposed for phoneme recognition that makes use of spikes for computation. The prototype system is demonstrated on voiced phonemes and shows competitive performance with state-of-the-art systems on a vowel dataset in the presence of noise. Using novel phase locking cues, the algorithm performs surprisingly well down to SNR values as low as 5dB, where the performance of the baseline algorithm used for comparison drops considerably. These results suggest, not only a possible explanation for the extreme noise robustness of human recognition, but also a novel technique for information processing for speech signals with computers. ©2009 IEEE.
Recommended Citation
I. Uysal and J. G. Harris, "Biologically Plausible Speech Recognition Using Spike-based Phase Locking Cues," Proceedings IEEE International Symposium on Circuits and Systems, pp. 101 - 104, article no. 5117695, Institute of Electrical and Electronics Engineers, Oct 2009.
The definitive version is available at https://doi.org/10.1109/ISCAS.2009.5117695
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142443828-0
International Standard Serial Number (ISSN)
0271-4310
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
26 Oct 2009
