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Self-Organising Maps in Silicon for Phoneme Recognition

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3 Author(s)
Gatt, E. ; Dept. of Microelectron., Univ. of Malta, Msida ; Micallef, J. ; Chilton, E.

This paper presents the use of hardware self-organising map neural networks for phoneme recognition. The neural network has been implemented on-chip using 0.6 Pim dual-metal dual-poly CMOS technology. The results obtained for self-organising maps (SOM) for phoneme recognition systems are presented. The paper also presents tested performance characteristics for the chip.

Published in:

Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on

Date of Conference:

11-14 Dec. 2005

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