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Goronzy S. — Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
Goronzy S. — Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

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Название: Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Автор: Goronzy S.

Аннотация:

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.


Язык: en

Рубрика: Разное/

Статус предметного указателя: Неизвестно

ed2k: ed2k stats

Год издания: 2002

Количество страниц: 134

Добавлена в каталог: 17.12.2016

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