15. Speech Retrieval

  1. Gokhan Tur5,
  2. Renato De Mori6
  1. Ciprian Chelba1,
  2. Timothy J. Hazen2,
  3. Bhuvana Ramabhadran3,
  4. Murat Saraçlar4

Published Online: 23 MAR 2011

DOI: 10.1002/9781119992691.ch15

Spoken Language Understanding: Systems for Extracting Semantic Information from Speech

Spoken Language Understanding: Systems for Extracting Semantic Information from Speech

How to Cite

Chelba, C., Hazen, T. J., Ramabhadran, B. and Saraçlar, M. (2011) Speech Retrieval, in Spoken Language Understanding: Systems for Extracting Semantic Information from Speech (eds G. Tur and R. De Mori), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119992691.ch15

Editor Information

  1. 5

    Microsoft Speech Labs, Microsoft Research, USA

  2. 6

    McGill University, Montreal, Canada and University of Avignon, France

Author Information

  1. 1

    Google, USA

  2. 2

    MIT Lincoln Laboratory, USA

  3. 3

    IBM TJ Watson Research Center, USA

  4. 4

    Boğaziçi University, Turkey

  1. Parts of this chapter have been previously published in Chelba et al. (2008) [© 2008 IEEE]. The authors thank IEEE for granting permission to reproduce some paragraphs, tables and figures in this chapter.

Publication History

  1. Published Online: 23 MAR 2011
  2. Published Print: 25 MAR 2011

ISBN Information

Print ISBN: 9780470688243

Online ISBN: 9781119992691

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Keywords:

  • Speech Retrieval;
  • Task Description;
  • Applications;
  • Challenges Using Speech Input;
  • Evaluation Metrics;
  • Benchmark Data Sets;
  • Approaches;
  • New Trends;
  • spoken term detection (STD);
  • automatic speech recognition (ASR)

Summary

This chapter contains sections titled:

  • Task Description

  • Applications

  • Challenges Using Speech Input

  • Evaluation Metrics

  • Benchmark Data Sets

  • Approaches

  • New Trends

  • Discussion and Conclusions

  • References