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Benchmarking Speech Understanding in Service Robotics

  • Speech understanding is a fundamental feature for many applications focused on human-robot interaction. Although many techniques and several services for speech recognition and natural language understanding have been developed in the last years, specific implementation and validation on domestic service robots have not been performed. In this paper, we describe the implementation and the results of a functional benchmark for speech understanding in service robotics that has been developed and tested in the context of different robot competitions: RoboCup@Home, RoCKIn@Home and within the European Robotics League on Service Robots. Different approaches used by the teams in the competitions are presented and the evaluation results obtained in the competitions are discussed.

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Metadaten
Document Type:Conference Object
Language:English
Author:Andrea Vanzo, Luca Iocchi, Daniele Nardi, Raphael Memmesheimer, Dietrich Paulus, Iryna Ivanovska, Gerhard Kraetzschmar
Parent Title (English):Anzalone, Farinelli et al. (Eds.): AIRO 2017: Artificial Intelligence and Robotics. Proceedings of the 4th Italian Workshop on Artificial Intelligence and Robotics. A workshop of the XVI International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017). Bari, Italy, November 14-15, 2017. CEUR Workshop Proceedings, Vol-2054
First Page:34
Last Page:40
ISSN:1613-0073
URL:https://ceur-ws.org/Vol-2054/#paper6
URL:https://nbn-resolving.org/urn:nbn:de:0074-2054-4
Publisher:RWTH Aachen
Place of publication:Aachen, Germany
Date of first publication:2018/01/24
Keywords:service robots; speech recognition; speech understanding
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/02/01