Data-Driven Methods for Adaptive Spoken Dialogue Systems
Computational Learning for Conversational Interfaces
Häftad, Engelska, 2014
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2014-11-09
- Mått155 x 235 x undefined mm
- SpråkEngelska
- Antal sidor178
- FörlagSpringer-Verlag New York Inc.
- EAN9781489992833