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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Paperback, 2002 ed.) Loot Price: R1,613
Discovery Miles 16 130
Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Paperback, 2002 ed.): Silke Goronzy

Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Paperback, 2002 ed.)

Silke Goronzy

Series: Lecture Notes in Artificial Intelligence, 2560

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Loot Price R1,613 Discovery Miles 16 130 | Repayment Terms: R151 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 2560
Release date: December 2002
First published: 2002
Authors: Silke Goronzy
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 146
Edition: 2002 ed.
ISBN-13: 978-3-540-00325-0
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Audio processing > General
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LSN: 3-540-00325-8
Barcode: 9783540003250

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