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Lecture Notes in Artificial Intelligence
cover

Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Authors: Goronzy, Silke

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About this book

Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.
In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Introduction

    Pages 1-5

  • ASR:AnOverview

    Pages 7-13

  • Pre-processing of the Speech Data

    Pages 15-19

  • Stochastic Modelling of Speech

    Pages 21-29

  • Knowledge Bases of an ASR System

    Pages 31-36

Buy this book

eBook $59.99
price for USA in USD (gross)
  • ISBN 978-3-540-36290-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $74.99
price for USA in USD
  • ISBN 978-3-540-00325-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
Authors
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
2560
Copyright
2002
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-36290-6
DOI
10.1007/3-540-36290-8
Softcover ISBN
978-3-540-00325-0
Edition Number
1
Number of Pages
XI, 146
Topics

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