Pastāsti draugiem par šo preci:
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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2012. gada 21. oktobris |
| ISBN13 | 9781461448020 |
| Izdevēji | Springer-Verlag New York Inc. |
| Žanrs | Aspects (Academic) > Science / Technology Aspects |
| Lapas | 178 |
| Izmēri | 155 × 235 × 15 mm · 498 g |
| Valoda | Angļu |
| Redaktors | Lemon, Oliver |
| Redaktors | Pietquin, Olivier |