LREC 2006 - Proceedings sorted by papers

Title	A French Non-Native Corpus for Automatic Speech Recognition
Authors	T. Tan, L. Besacier
Abstract	Automatic speech recognition (ASR) technology has achieved a level of maturity, where it is already practical to be used by novice users. However, most non-native speakers are still not comfortable with services including ASR systems, because of the accuracy on non-native speakers. This paper describes our approach in constructing a non-native corpus particularly in French for testing and adapting non-native speaker for automatic speech recognition. Finally, we also propose in this paper a method for detecting pronunciation variants and possible pronunciation mistakes by non-native speakers.
Keywords
Full paper	A French Non-Native Corpus for Automatic Speech Recognition

Title

A French Non-Native Corpus for Automatic Speech Recognition

Authors

T. Tan, L. Besacier

Abstract

Automatic speech recognition (ASR) technology has achieved a level of maturity, where it is already practical to be used by novice users. However, most non-native speakers are still not comfortable with services including ASR systems, because of the accuracy on non-native speakers. This paper describes our approach in constructing a non-native corpus particularly in French for testing and adapting non-native speaker for automatic speech recognition. Finally, we also propose in this paper a method for detecting pronunciation variants and possible pronunciation mistakes by non-native speakers.

Keywords

Full paper

A French Non-Native Corpus for Automatic Speech Recognition