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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces Oliver Lemon 2012 edition
Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Oliver Lemon
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).
195 pages, 27 black & white illustrations, 8 colour illustrations, 23 black & white tables, biograph
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 21 de octubre de 2012 |
| ISBN13 | 9781461448020 |
| Editores | Springer-Verlag New York Inc. |
| Género | Aspects (Academic) > Science / Technology Aspects |
| Páginas | 178 |
| Dimensiones | 155 × 235 × 15 mm · 498 g |
| Lengua | Inglés |
| Editor | Lemon, Oliver |
| Editor | Pietquin, Olivier |