Format:
Online-Ressource
ISBN:
9783540362906
,
3540003258
Series Statement:
Lecture Notes in Computer Science 2560
Content:
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
Note:
Literaturverz. S. [113] - 123
Additional Edition:
ISBN 9783540003250
Additional Edition:
Buchausg. u.d.T. Goronzy, Silke Robust adaptation to non-native accents in automatic speech recognition Berlin : Springer, 2002 ISBN 3540003258
Language:
English
Subjects:
Computer Science
Keywords:
Mensch-Maschine-Kommunikation
;
Natürlichsprachiges System
;
Sprecheradaption
;
Non-native speaker
;
Robustheit
;
Bereichsschätzung
;
Automatische Spracherkennung
;
Natürliche Sprache
;
Sprachverarbeitung
;
Hochschulschrift
DOI:
10.1007/3-540-36290-8
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
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