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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.
Produkteigenschaften
- Artikelnummer: 9783540003250
- Medium: Buch
- ISBN: 978-3-540-00325-0
- Verlag: Springer Berlin Heidelberg
- Erscheinungstermin: 19.12.2002
- Sprache(n): Englisch
- Auflage: 2002
- Serie: Lecture Notes in Artificial Intelligence
- Produktform: Kartoniert
- Gewicht: 260 g
- Seiten: 146
- Format (B x H x T): 155 x 235 x 10 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Informationsvisualisierung
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Signalverarbeitung, Bildverarbeitung, Scanning
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Informationsvisualisierung