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Hardcover - 9781461448020
106,99 €
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Beschreibung
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). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.
Computational Learning for Conversational Interfaces
Computational Learning for Conversational Interfaces
Details
| Verlag | Springer US |
| Ersterscheinung | 09. November 2014 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 295 Gramm |
| Format | Softcover |
| ISBN-13 | 9781489992833 |
| Auflage | 2012 |
| Seiten | 178 |
Schlagwörter
Arithmetic and Logic Structures, Computational Linguistics, Computer Modelling, Computerhardware, Computerlinguistik und Korpuslinguistik, Computermodellierung und -simulation, Digitale Signalverarbeitung (DSP), Elektronik, Mensch-Computer-Interaktion, Signal - Speech and Image Processing, User Interfaces and Human Computer Interaction
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