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https://www.um.edu.mt/library/oar/handle/123456789/17249| Title: | Analogue radial basis function networks for phoneme recognition |
| Authors: | Gatt, Edward Micallef, Joseph |
| Keywords: | Integrated circuits -- Design and construction Analog CMOS integrated circuits Neural networks (Computer science) Speech processing systems Microelectromechanical systems Radial basis functions |
| Issue Date: | 2002 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Gatt, E., & Micallef, J. (2002). Analogue radial basis function networks for phoneme recognition. 9th International Conference on Electronics, Circuits and Systems, Dubrovnik. 583-586. |
| Abstract: | This paper presents an analogue radial basis function neural network for phoneme recognition. The neural network has been implemented on-chip using 0.35 /spl mu/m three-metal dual-poly CMOS technology. Radial basis function neural networks have been adopted because they offer improved training times when compared to multi-layer perceptron networks implementing conventional back-propagation learning (S. Renals and R. Rohwer, Proc. IEEE/INNS First Inter. Joint Conf. Neural Networks, vol. 1, pp. 461-467, 1997). The paper also presents the performance characteristics for the chip, together with its application to the problem of phoneme recognition. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/17249 |
| Appears in Collections: | Scholarly Works - FacICTMN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Analogue radial basis function networks for phoneme recognition.pdf Restricted Access | Analogue radial basis function networks for phoneme recognition | 300.35 kB | Adobe PDF | View/Open Request a copy |
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