Title :
An analog VLSI time-delay neural network implementation for phoneme recognition
Author :
Gatt, E. ; Micallef, J. ; Chilton, E.
Author_Institution :
Dept. of Microelectron., Malta Univ., Msida, Malta
Abstract :
The paper proposes an analog VLSI neural network chip, which can be cascaded in order to develop a time-delay neural network system for phoneme recognition. Backpropagation learning has been adopted to train the network to recognise phoneme frames extracted from the TIMIT database. A prototype chip, implemented using CMOS 2.0 μm, double metal, double poly technology is also described together with its specifications
Keywords :
CMOS analogue integrated circuits; VLSI; backpropagation; neural chips; speech recognition; CMOS analog IC; TIMIT database; VLSI; backpropagation learning; double metal double poly; neural net chip; phoneme recognition; time-delay neural network; Backpropagation; Circuits; Databases; History; Information technology; Mathematics; Microelectronics; Neural networks; Prototypes; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876864
