Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-47188
Chakrabartty, S; Liu, S C (2010). Exploiting Spike-based Dynamics in a Silicon Cochlea for Speaker Identification. In: Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium, Paris, France, 30 May 2010 - 2 June 2010, 513-516.
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Limit-cycle dynamics embedded in neuronal spike-trains can form robust representations for encoding auditory spectral features. In this paper, we present speaker identification experiments based on limit-cycle statistics that were computed using spike-trains obtained from a spike-based silicon cochlea. The features included in this study were: (a) spike-rate; (b) inter-spike-interval distribution; and (c) inter-spike-velocity features, which were then used to design a speaker identification system based on a Gini-support vector machine (SVM) classifier. The results show a strong correlation between the information contained in the spike-rate/interval features and the spike-velocity/acceleration features indicating redundant encoding of auditory features which could be important for achieving noise-robustness in real-world recording conditions.
|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Neuroinformatics|
|DDC:||570 Life sciences; biology|
|Event End Date:||2 June 2010|
|Deposited On:||02 Mar 2011 14:54|
|Last Modified:||21 Oct 2012 00:39|
|Number of Pages:||3|
Scopus®. Citation Count: 2
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