Informations morpho-syntaxiques et adaptation thématique pour améliorer la reconnaissance de la parole
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Summary
Nous developpons un nouveau cadre probabiliste pour prendre en compte dfferentes modalites (coherence lexicale, indices acoustiques et marqueurs linguistiques) et montrons son interet pour ameliorer la qualite of the segmentation.
- Type
- preprint
- Published
- 2007-12-11
- Cited by
- 7
- References
- 274
- Access
- Open access
- OpenAlex
- https://openalex.org/W15465840
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2171091
Keywords
Humanities, Philosophy
References
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- Story Segmentation and Topic Detection in the Broadcast News Domain
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Cited by
- Contraintes sur la sélection des informations dans les définitions terminographiques : vers des modèles relationnels génériques pertinents
- Adaptation thématique non supervisée d'un système de reconnaissance automatique de la parole. (Unsupervised topic-based adaptation of an automatic speech recognition system)
- Structuration automatique de flux télévisuels
- Variability tolerant discovery of arbitrary repeating patterns in audio data with template matching
- Structuration automatique de documents audio. (Automatic structuring of audio documents)
- Toward the Integration of Natural Language Processing and Automatic Speech Recognition: Using Morpho-Syntax and Pragmatics for Transcription
- Efficient Exploitation of Multimedia Documents: Exploring, Indexing and Searching in Very Large Databases