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Automatic Speech Segmentation for Automatic Speech Translation

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Computer Networks (CN 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 370))

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Abstract

The article presents selected, effective speech signal processing algorithms and their use in order to improve the automatic speech translation. Automatic speech translation uses natural language processing techniques implemented using algorithms of automatic speech recognition, speaker recognition, automatic text translation and text-to-speech synthesis. It is very possible to improve the process of automatic speech translation by using effective algorithms for automatic segmentation of speech signals based on speaker recognition and language recognition.

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Author information

Authors and Affiliations

  1. Silesian University of Technology, Akademicka Str. 16, 44-100, Gliwice, Poland

    Piotr Kłosowski & Adam Dustor

Authors
  1. Piotr Kłosowski
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  2. Adam Dustor
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, ul. Akademicka 16, 41-100, Gliwice, Poland

    Andrzej Kwiecień

  2. Institute of Informatics, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Piotr Gaj  & Piotr Stera  & 

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Kłosowski, P., Dustor, A. (2013). Automatic Speech Segmentation for Automatic Speech Translation. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2013. Communications in Computer and Information Science, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38865-1_47

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  • DOI: https://doi.org/10.1007/978-3-642-38865-1_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38864-4

  • Online ISBN: 978-3-642-38865-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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