Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Language: English

Published by Springer, Springer Dez 2002, 2002

3540003258 / 9783540003250

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.

Seller Inventory # 9783540003250

Title
Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
Author
Silke Goronzy
Publisher
Springer, Springer Dez 2002
Publication year
2002
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3540003258
ISBN 13
9783540003250
Item weight
260 grams
Dimensions
235x155x10 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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