Biologically plausible speech recognition using spike-based phase locking cues

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 lock...

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Bibliographic Details
Main Authors: Uysal, I., Harris, J.G.
Format: Conference Proceeding
Language:English
Subjects:
Biology computing
Humans
Information processing
Noise robustness
Prototypes
Signal processing
Signal to noise ratio
Speech enhancement
Speech processing
Speech recognition
Online Access:Request full text
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Description
Summary: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 5 dB, 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.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2009.5117695