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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces Oliver Lemon 2012 edition
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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
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 21. oktober 2012 |
| ISBN13 | 9781461448020 |
| Utgivere | Springer-Verlag New York Inc. |
| Sjanger | Aspects (Academic) > Science / Technology Aspects |
| Antall sider | 178 |
| Mål | 155 × 235 × 15 mm · 498 g |
| Språk | Engelsk |
| Redaktør | Lemon, Oliver |
| Redaktør | Pietquin, Olivier |