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International Conference on Knowledge Based Computer Systems

KBCS 1989: Knowledge Based Computer Systems pp 532–541Cite as

Speech recognition for knowledge based computer systems

  • Activities At The KBCS Nodal Centres
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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

Abstract

The Knowledge Based Computer Systems project at the Tata Institute of Fundamental Research (TIFR) aims to make a concerted effort for research in the area of computer speech recognition in the context of Indian languages. For this, four approaches have been identified, namely the subword unit analysis, hidden Markov models, acoustic-phonetic feature analysis and artificial neural networks. This paper presents each of these approaches briefly and discusses the merits and demerits of each of these approaches. The activities related to the project as well as the work under way at TIFR in each of these approaches is also discussed. It is seen that the four approaches considered in this paper complement each other and may be used in conjunction with each other to improve the performance of speech recognition systems.

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References

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Authors and Affiliations

  1. Computer Systems and Communications Group, Tata Institute of Fundamental Research, Homi Bhabha Road, 400 005, Bombay, India

    PVS Rao, S Krishnan, P Poddar, V Ramasubramanian, K Samudravijaya & A Sen

Authors
  1. PVS Rao
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  2. S Krishnan
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  3. P Poddar
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  4. V Ramasubramanian
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  5. K Samudravijaya
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  6. A Sen
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Rao, P., Krishnan, S., Poddar, P., Ramasubramanian, V., Samudravijaya, K., Sen, A. (1990). Speech recognition for knowledge based computer systems. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018410

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  • DOI: https://doi.org/10.1007/BFb0018410

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

  • eBook Packages: Springer Book Archive

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