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Word Spotting from Continuous Speech Utterances

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Automatic Speech and Speaker Recognition

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

Abstract

There are many speech recognition applications that require only partial information to be extracted from a speech utterance. These applications include human-machine interactions where it may be difficult to constrain users’ utterances to be within the domain of the machine. Other types of applications that are of interest are those where speech utterances arise from human-human interaction, interaction with speech messaging systems, or any other domain that can be characterized as being unconstrained or spontaneous. This chapter is concerned with the problem of spotting keywords in continuous speech utterances. Many important speech input applications involving word spotting will be described. The chapter will also discuss Automatic Speech Recognition (ASR) problems that are particularly important in word spotting applications. These problems include rejection of out-of-vocabulary utterances, derivation of measures of confidence, and the development of efficient and flexible search algorithms.

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Author information

Authors and Affiliations

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

    Richard C. Rose

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  1. Richard C. Rose
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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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Rose, R.C. (1996). Word Spotting from Continuous Speech Utterances. 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_13

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  • DOI: https://doi.org/10.1007/978-1-4613-1367-0_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8590-8

  • Online ISBN: 978-1-4613-1367-0

  • eBook Packages: Springer Book Archive

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