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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces Lemon Oliver 2012 edition
Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Lemon Oliver
Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present "end-to-end" in Spoken Dialogue Systems (SDS).
178 pages, colour illustrations, black & white tables, bibliography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 9 novembre 2014 |
| Date de publication originale | 2012 |
| ISBN13 | 9781489992833 |
| Éditeurs | Springer-Verlag New York Inc. |
| Pages | 178 |
| Dimensions | 155 × 235 × 10 mm · 272 g |
| Langue et grammaire | Anglais |
| Éditeur | Lemon, Oliver |
| Éditeur | Pietquin, Olivier |