Title :
Self-Organising Maps in Silicon for Phoneme Recognition
Author :
Gatt, E. ; Micallef, J. ; Chilton, E.
Author_Institution :
Dept. of Microelectron., Univ. of Malta, Msida
Abstract :
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.
Keywords :
CMOS integrated circuits; self-organising feature maps; speech recognition; dual-metal dual-poly CMOS technology; phoneme recognition; self-organising map neural networks; Circuits; Computer networks; Hamming distance; Microelectronics; Network topology; Neural networks; Pattern matching; Random access memory; Silicon; Switches;
Conference_Titel :
Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-9972-61-100-1
Electronic_ISBN :
978-9972-61-100-1
DOI :
10.1109/ICECS.2005.4633378
