The LIMSI RailTel system: field trial of a telephone service for rail travel information
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
The LIMSI ARISE system for train travel information
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
Message-driven speech recognition and topic-word extraction
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Discovering Cues to Error Detection in Speech Recognition Output: A User-Centered Approach
Journal of Management Information Systems
User profiles for adapting speech support in the opera web browser to disabled users
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
Navigating multimodal meeting recordings with the meeting miner
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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This paper describes recent progress and the author's perspectives of speech recognition technology. Applications of speech recognition technology can be classified into two main areas, dictation and human-computer dialogue systems. In the dictation domain, the automatic broadcast news transcription is now actively investigated, especially under the DARPA project. The broadcast news dictation technology has recently been integrated with information extraction and retrieval technology and many application systems, such as automatic voice document indexing and retrieval systems, are under development. In the human-computer interaction domain, a variety of experimental systems for information retrieval through spoken dialogue are being investigated. In spite of the remarkable recent progress, we are still behind our ultimate goal of understanding free conversational speech uttered by any speaker under any environment. This paper also describes the most important research issues that we should attack in order to advance to our ultimate goal of fluent speech recognition.