Informedia: news-on-demand multimedia information acquisition and retrieval
Intelligent multimedia information retrieval
Communications of the ACM
Speech Communication - Special issue on automatic transcription of broadcast news data
Connectionist speech recognition of Broadcast News
Speech Communication - Special issue on automatic transcription of broadcast news data
The development of the HTK Broadcast News transcription system: an overview
Speech Communication - Special issue on automatic transcription of broadcast news data
Automatic transcription of Broadcast News
Speech Communication - Special issue on automatic transcription of broadcast news data
The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach
Speech Communication - Special issue on automatic transcription of broadcast news data
Improved modeling and efficiency for automatic transcription of Broadcast News
Speech Communication - Special issue on automatic transcription of broadcast news data
Language-independent and language-adaptive acoustic modeling for speech recognition
Speech Communication
Guest Editorial: Content-Based Multimedia Indexing and Retrieval
Multimedia Tools and Applications
Progress in transcription of broadcast News using Byblos
Speech Communication
Progress in Broadcast News transcription at Dragon Systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
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One rapidly expanding application area for state-of-the-art speech recognition technology is the automatic processing of broadcast audiovisual data for information access. Since much of the linguistic information is found in the audio channel, speech recognition is a key enabling technology which, when combined with information retrieval techniques, can be used for searching large audiovisual document collections. Audio indexing must take into account the specificities of audio data such as needing to deal with the continuous data stream and an imperfect word transcription. Other important considerations are dealing with language specificities and facilitating language portability. At Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), broadcast news transcription systems have been developed for seven languages: English, French, German, Mandarin, Portuguese, Spanish, and Arabic. The transcription systems have been integrated into prototype demonstrators for several application areas such as audio data mining, structuring audiovisual archives, selective dissemination of information, and topic tracking for media monitoring. As examples, this paper addresses the spoken document retrieval and topic tracking tasks.