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Automatic Speech and Speaker Recognition pp 457–479Cite as

Issues in Practical Large Vocabulary Isolated Word Recognition: The IBM Tangora System

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Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS,volume 355)

Abstract

The IBM TANGORA was the first real-time PC-based large vocabulary isolated word dictation system [14]. Its development and eventual productization in the form of the IBM Personal Dictation System required substantial innovation in all areas of speech recognition, from signal processing to language modeling. This chapter describes some of the algorithmic techniques that had to be developed in order to create a dictation system that could actually be used by real users to create text.

Keywords

  • Speech Recognition
  • Language Model
  • Speech Signal
  • IEEE International Conf
  • Speech Recognition System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. IBM Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, NY, 10598, USA

    S. K. Das & M. A. Picheny

Authors
  1. S. K. Das
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  2. M. A. Picheny
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Editor information

Editors and Affiliations

  1. AT&T Bell Laboratories, Murray Hill, NJ, 07974, USA

    Chin-Hui Lee & Frank K. Soong & 

  2. School of Microelectronic Engineering, Griffith University, Australia

    Kuldip K. Paliwal

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© 1996 Kluwer Academic Publishers

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Das, S.K., Picheny, M.A. (1996). Issues in Practical Large Vocabulary Isolated Word Recognition: The IBM Tangora System. In: Lee, CH., Soong, F.K., Paliwal, K.K. (eds) Automatic Speech and Speaker Recognition. The Kluwer International Series in Engineering and Computer Science, vol 355. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1367-0_19

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  • DOI: https://doi.org/10.1007/978-1-4613-1367-0_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8590-8

  • Online ISBN: 978-1-4613-1367-0

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