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Hybrid Recognition Technology for Isolated Voice Commands

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Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 432))

Abstract

The paper deals with two elements of the artificial intelligence methods—the natural language processing and machine learning. Hybrid recognition technology for isolated Lithuanian voice commands is described. By the hybrid approach we assume the combination of two different recognition methods to achieve higher recognition accuracy. The method which is based on the machine learning algorithm to combine the recognition results provided by two different recognizers is described. The first recognizer was HTK-based Lithuanian recognizer, the second one—the Spanish language recognizer adapted to the Lithuanian language. The experimental results show that a hybrid decision-making rule learned by “random forest” classifier works with 99.46 % accuracy and exceeds the accuracy of the “blind” decision-making rule (96.12 %). The average hybrid operation accuracy reaches 99.24 %, when the recognizer recognizes voice commands out of 12 known speakers, and is equal to 99.18 %, when it is applied to the unknown speaker.

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Authors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu Street 48, Kaunas, Lithuania

    Gintarė Bartišiūtė, Kastytis Ratkevičius & Gintarė Paškauskaitė

Authors
  1. Gintarė Bartišiūtė
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  2. Kastytis Ratkevičius
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  3. Gintarė Paškauskaitė
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Corresponding author

Correspondence to Gintarė Bartišiūtė .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Zofia Wilimowska

  2. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wroclaw, Poland

    Leszek Borzemski

  3. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Adam Grzech

  4. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Jerzy Świątek

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Bartišiūtė, G., Ratkevičius, K., Paškauskaitė, G. (2016). Hybrid Recognition Technology for Isolated Voice Commands. In: Wilimowska, Z., Borzemski, L., Grzech, A., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV. Advances in Intelligent Systems and Computing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-319-28567-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-28567-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28565-8

  • Online ISBN: 978-3-319-28567-2

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