Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
Author :
Publisher : Springer
Total Pages : 135
Release :
ISBN-10 : 9783540362906
ISBN-13 : 3540362908
Rating : 4/5 (908 Downloads)

Book Synopsis Robust Adaptation to Non-Native Accents in Automatic Speech Recognition by : Silke Goronzy

Download or read book Robust Adaptation to Non-Native Accents in Automatic Speech Recognition written by Silke Goronzy and published by Springer. This book was released on 2003-07-01 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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