Robust Adaptation to Non-Native Accents in Automatic Speech Recognition / Lecture Notes in Computer Science Bd.2560 (PDF)
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.
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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.
- Autor: Silke Goronzy
- 2003, 2002, 146 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540362908
- ISBN-13: 9783540362906
- Erscheinungsdatum: 01.07.2003
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