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Automatic Image and Speech Recognition Based on Neural Network

Automatic Image and Speech Recognition Based on Neural Network

Dariusz Król, Boguslaw Szlachetko
Copyright: © 2010 |Volume: 3 |Issue: 2 |Pages: 17
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781609604004|DOI: 10.4018/jitr.2010040101
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MLA

Król, Dariusz, and Boguslaw Szlachetko. "Automatic Image and Speech Recognition Based on Neural Network." JITR vol.3, no.2 2010: pp.1-17. http://doi.org/10.4018/jitr.2010040101

APA

Król, D. & Szlachetko, B. (2010). Automatic Image and Speech Recognition Based on Neural Network. Journal of Information Technology Research (JITR), 3(2), 1-17. http://doi.org/10.4018/jitr.2010040101

Chicago

Król, Dariusz, and Boguslaw Szlachetko. "Automatic Image and Speech Recognition Based on Neural Network," Journal of Information Technology Research (JITR) 3, no.2: 1-17. http://doi.org/10.4018/jitr.2010040101

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Abstract

The objective of this paper is to present a real-time mechanism for recognition of different objects using Spatiognitron neural network technology. Spatiognitron is based on a biological neural structure and the theory described in this paper presents what are known as Time Delay Neural Networks (TDNN). These are fields which enable the recognition of different features in the input object. The approach was verified by qualitative recognition process tests in commercial car license plate recognition using a NeuroCar based system. A second set of tests was carried out in a laboratory environment using NeuroScope, an automatic speech recognition system.

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