
Overview
- Pushes forward the state of the art in dialog technologies
- Offers advances to language and context understanding, and dialog management
- Includes human–robot interaction, conversational agents, question answering, and lifelong learning for dialog systems
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 714)
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Table of contents (41 chapters)
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Context Understanding and Dialogue Management
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Human-Robot Interaction
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Dialogue Evaluation and Analysis
Editors and Affiliations
About the editors
Sabato Marco Siniscalchi is a Full Professor at the University of Enna “Kore”, Italy, and affiliated with the Georgia Institute of Technology (GaTech), Atlanta (GA), USA. He received his laurea and doctorate degrees in Computer Engineering from the University of Palermo, Italy, in 2001 and 2006, respectively. In 2006, he was a Postdoctoral Fellow at the GaTech, and he joined the Norwegian University of Science and Technology (NTNU), Trondheim, Norway, as a Research Scientist from 2007 to 2010. In October 2017, he was on one-year leave from his academic appointment and joined as Senior Speech Researcher at the Siri Speech Group, Apple Inc., Cupertino CA, USA. He acted as an Associate Editor in IEEE/ACM Transactions on Audio, Speech and Language Processing, from 2015 to 2019, and was the recipient of a certificate of merit for outstanding editorial board in April, 2018. Prof. Siniscalchi is an elected member of the IEEE Speech and Language Technical Committee (2019–2021).
Sandro Cumani received the Ph.D. in Computer and System Engineering from Politecnico di Torino in 2012. From 2012 to 2013, he was a Researcher at the Brno University of Technology. In 2013, he joined Politecnico di Torino and is currently an Assistant Professor. His research interests include machine learning, speech processing and biometrics, speaker and languagerecognition. He has (co-)authored more than 50 publications and currently acts as an Associate Editor for IEEE Signal Processing Letters.
Valerio Mario Salerno is a Researcher at the Faculty of Engineering and Architecture, Kore University of Enna, Italy. He received his Bachelor’s degree in Telematic Engineering from the University of Catania, Italy, and both his Master’s degree (cum Laude) in Telematic Engineering and Ph.D. from Kore University of Enna, Italy. He is Guest Editor for the special issue "Internet of Things for Smart Homes” of Sensors. His research interests include neural networks and automatic speech recognition systems.
Haizhou Li is currently a professor at the National University of Singapore. His research interests include automatic speech recognition, natural language processing and information retrieval. Prof. Li has served as the Editor-in-Chief of IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING (2015–2018), the President of International Speech Communication Association (2015-2017), the President of Asia Pacific Signal and Information Processing Association (2015-2016), General Chair of ACL 2012 and INTERSPEECH 2014. Prof. Li has worked on speech and language technology in academia and industry since 1988. He is a Fellow of IEEE and ISCA.
Bibliographic Information
Book Title: Increasing Naturalness and Flexibility in Spoken Dialogue Interaction
Book Subtitle: 10th International Workshop on Spoken Dialogue Systems
Editors: Erik Marchi, Sabato Marco Siniscalchi, Sandro Cumani, Valerio Mario Salerno, Haizhou Li
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-15-9323-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-9322-2Published: 11 March 2021
Softcover ISBN: 978-981-15-9325-3Published: 12 March 2022
eBook ISBN: 978-981-15-9323-9Published: 10 March 2021
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: X, 453
Number of Illustrations: 40 b/w illustrations, 76 illustrations in colour
Topics: Signal, Image and Speech Processing, Acoustics, User Interfaces and Human Computer Interaction