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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 9, 2014 |
| Original release date | 2012 |
| ISBN13 | 9781489992833 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 178 |
| Dimensions | 155 × 235 × 10 mm · 272 g |
| Language | English |
| Editor | Lemon, Oliver |
| Editor | Pietquin, Olivier |
See all of Lemon Oliver ( e.g. Paperback Book )