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Intelligent Layer of Two-Way Voice Communication of the Technological Device with the Operator

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

Abstract

In this paper there is a review of the selected issues on recognition and safety estimation of voice commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of words and commands using neural networks made of a few layers of neurons. The paper presents some research results of speech recognition and automatic command recognition with artificial neural networks. The first part of the paper introduces a new conception of an intelligent layer of two-way voice communication of the technological device with the operator and discusses the general topics and issues. The second part is devoted to a discussion of more specific topics of the automatic command recognition and safety estimation that have led to interesting new approaches and techniques.

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References

  1. Kacalak, W., Majewski, M.: Intelligent two-sided voice communication system between the machining system and the operator. In: Proceedings of the Artificial Neural Networks in Engineering ANNIE 2003 Conference, St. Louis USA, pp. 969–974. ASME Press, New York (2003)

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  2. Kacalak, W., Majewski, M.: Supervising of technological process using two-sided voice communication between the machining system and the operator. In: Modern Trends in Manufacturing CAMT 2003 Wroclaw, pp. 175–182 (2003)

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  3. O’Shaughnessy, D.: Speech communications: Human and machine. IEEE Press, New York (2000)

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© 2004 Springer-Verlag Berlin Heidelberg

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Kacalak, W., Majewski, M. (2004). Intelligent Layer of Two-Way Voice Communication of the Technological Device with the Operator. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_92

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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