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Architectural Approaches for Phonemes Recognition Systems

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Applied Informatics (ICAI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 942))

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Abstract

Based on the literature, it is possible to build voice recognition systems by using voice synthesizers and voice command controls. In addition, phonemes recognition can be made by implementing algorithms already created for this kinds of tasks. Nevertheless, phonemes recognition might generate some errors, when the implementation of such algorithms is unsuitable. Then, the possibility to perform phonemes recognition based on open source APIs arises. In the work presented in this paper, we used open source APIs for voice commands recognition. Thus, we propose an architecture that allows the construction of a system for phonemes recognition and voice synthesizers. The results have been implemented and validated in order to illustrate the reliability of the proposed architecture.

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Notes

  1. 1.

    http://jsapi.sourceforge.net/.

  2. 2.

    http://www.oracle.com/technetwork/java/javase/overview/index.html.

  3. 3.

    https://www.w3.org/TR/2000/NOTE-jsgf-20000605/.

  4. 4.

    https://www.w3.org/TR/xhtml+voice/.

  5. 5.

    https://www.w3.org/TR/speech-grammar/.

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Author information

Authors and Affiliations

  1. Universidad Distrital Francisco Jose de Caldas, Bogotá, Colombia

    Luis Wanumen & Hector Florez

Authors
  1. Luis Wanumen
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  2. Hector Florez
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Corresponding author

Correspondence to Hector Florez .

Editor information

Editors and Affiliations

  1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Hector Florez

  2. Universidad de Bogotá Jorge Tadeo Lozano, Bogotá, Colombia

    Cesar Diaz

  3. Universidad de Los Andes, Bogotá, Colombia

    Jaime Chavarriaga

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Wanumen, L., Florez, H. (2018). Architectural Approaches for Phonemes Recognition Systems. In: Florez, H., Diaz, C., Chavarriaga, J. (eds) Applied Informatics. ICAI 2018. Communications in Computer and Information Science, vol 942. Springer, Cham. https://doi.org/10.1007/978-3-030-01535-0_20

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  • DOI: https://doi.org/10.1007/978-3-030-01535-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01534-3

  • Online ISBN: 978-3-030-01535-0

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