Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces - Oliver Lemon - Grāmatas - Springer-Verlag New York Inc. - 9781461448020 - 2012. gada 21. oktobris
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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces 2012 edition

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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

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