On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/17883

Title:	On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition
Authors:	Gatt, Edward Micallef, Joseph Chilton, Edward
Keywords:	Automatic speech recognition Back propagation (Artificial intelligence) Analog CMOS integrated circuits Neural networks (Computer science) Integrated circuits -- Very large scale integration
Issue Date:	2005
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Citation:	Gatt, E., Micallef, J., & Chilton, E. (2005). On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition. 12th IEEE International Conference on Electronics, Circuits and Systems, Gammarth. 1-4.
Abstract:	This paper presents a back-propagation neural network for phoneme recognition. The neural network has been implemented on-chip using 0.35 mum three-metal dual-poly CMOS technology. The results obtained for multi-layer perceptrons (MLP) and time-delay neural network (TDNN) implementations for phoneme recognition systems are presented. The paper also presents the performance characteristics for the chip.
URI:	https://www.um.edu.mt/library/oar//handle/123456789/17883
Appears in Collections:	Scholarly Works - FacICTMN

Files in This Item:

File	Description	Size	Format
On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition.pdf Restricted Access	On-chip multi-layer perceptron and time-delay neural networks for phoneme recognition	729.91 kB	Adobe PDF	View/Open Request a copy