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The Speech Recognition Research System of the TU Dresden

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Speech Recognition and Coding

Part of the book series: NATO ASI Series ((NATO ASI F,volume 147))

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Abstract

This paper describes a speech recognition system which has been implemented at the Institute of Technical Acoustics of the Dresden University of Technology for research purposes. The main topics of interest with this system are the use of knowledge on human speech perception, the event-directed recognition strategy, and the use of syllables as basic units of speech production and perception. The system is implemented on DECstations 5000/125 in the programming language C. System configuration and control are performed by means of a specialized object-oriented interpreter. For the experiments, the German PHONDAT speech data base is applied.

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References

  1. Langmann, D.: EXA 1630-Einsatz einer Experttechnologie zur Sprachsignalauswertung mit unscharfem Zugang. Düsseldorf: VDI-Verlag 1992.

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  3. Hoffmann, R.; Westendorf, C.-M.: Psychoakustische Komponenten in Spracherken-nungssystemen. In: Fortschritte der Akustik, DAGA 1993. Bad Honnef: DPG-Verlag 1993, pp. l05–111.

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Author information

Authors and Affiliations

  1. Technische Universität Dresden, Institut für Technische Akustik, 01062, Dresden, Germany

    Rüdiger Hoffmann

Authors
  1. Christian-M Westendorf
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  2. Rüdiger Hoffmann
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Editor information

Editors and Affiliations

  1. Department of Electronics and Technology of Computers Faculty of Sciences, University of Granada, E-18071, Granada, Spain

    Antonio J. Rubio Ayuso  & Juan M. López Soler  & 

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© 1995 Springer-Verlag Berlin Heidelberg

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Westendorf, CM., Hoffmann, R. (1995). The Speech Recognition Research System of the TU Dresden. In: Ayuso, A.J.R., Soler, J.M.L. (eds) Speech Recognition and Coding. NATO ASI Series, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57745-1_18

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  • DOI: https://doi.org/10.1007/978-3-642-57745-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63344-7

  • Online ISBN: 978-3-642-57745-1

  • eBook Packages: Springer Book Archive

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