Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
Goronzy, Silke
Produktnummer:
18a120050305a14caa96bdc980944c6630
| Autor: | Goronzy, Silke |
|---|---|
| Themengebiete: | Automat Automatic Speech Recognition Confidence Measures Human-Machine Interfaces MLLR Natural Language Processing Non-Native Accents Phone Duration Pronunciation Modeling Speaker Adaptation |
| Veröffentlichungsdatum: | 19.12.2002 |
| EAN: | 9783540003250 |
| Sprache: | Englisch |
| Seitenzahl: | 146 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Berlin |
Produktinformationen "Robust Adaptation to Non-Native Accents in Automatic Speech Recognition"
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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