Item description for Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Lecture Notes in Computer Science) by Silke Goronzy...
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 thatallows 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.
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Est. Packaging Dimensions: Length: 9.06" Width: 6.06" Height: 0.39" Weight: 0.57 lbs.
Release Date Feb 12, 2003
ISBN 3540003258 ISBN13 9783540003250
Availability 55 units. Availability accurate as of Mar 25, 2017 09:49.
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