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Robust adaptation to non-native accents in automatic speech recognition
Autor: Goronzy, Silke
Rok: 2002
ISBN: 9783540003250
OKCZID: 110032281
Citace (dle ČSN ISO 690):
GORONZY, Silke. Robust adaptation to non-native accents in automatic speech recognition. Berlin: Springer, 2002. XI, 144 s. Lecture notes in computer science. Lecture notes in artificial intelligence, 2560.
Anotace
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.