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Edit Distance Comparison Confidence Measure for Speech Recognition

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Multimedia and Ubiquitous Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 240))

Abstract

A new possible confidence measure for automatic speech recognition is presented along with results of tests where they were applied. A classical method based on comparing the strongest hypotheses with an average of a few next hypotheses was used as a ground truth. Details of our own method based on comparison of edit distances are depicted with results of tests. It was found useful for spoken dialogue system as a module asking to repeat a phrase or declaring that it was not recognised. The method was designed for Polish language, which is morphologically rich.

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Acknowledgments

The project was funded by the National Science Centre allocated on the basis of a decision DEC-2011/03/D/ST6/00914.

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Authors and Affiliations

  1. Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Dawid Skurzok & Bartosz Ziółko

Authors
  1. Dawid Skurzok
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  2. Bartosz Ziółko
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Corresponding author

Correspondence to Dawid Skurzok .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Dept of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

    Joseph Kee-Yin Ng

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia

    Borgy Waluyo

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© 2013 Springer Science+Business Media Dordrecht(Outside the USA)

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Skurzok, D., Ziółko, B. (2013). Edit Distance Comparison Confidence Measure for Speech Recognition. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_19

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  • DOI: https://doi.org/10.1007/978-94-007-6738-6_19

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6737-9

  • Online ISBN: 978-94-007-6738-6

  • eBook Packages: EngineeringEngineering (R0)

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