Statistical Pronunciation Modeling for Non-Native Speech Processing

Statistical Pronunciation Modeling for Non-Native Speech Processing by Rainer E. Gruhn, Wolfgang Minker, Satoshi Nakamura.

In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be mo...

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Bibliographic Details
Main Authors: Gruhn, Rainer E. (Author), Minker, Wolfgang (Author), Nakamura, Satoshi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Signals and Communication Technology,
Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Phonology.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Automatic Speech Recognition
  • Properties of Non-native Speech
  • Pronunciation Variation Modeling in the Literature
  • Non-native Speech Database
  • Handling Non-native Speech
  • Pronunciation HMMs.

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