@inproceedings{db8aee1adc0d4049876e40fa18e1f415,
title = "Spoken dialogue-based remote control of educational mobile robot with mecanum wheels",
abstract = "This paper describes a new platform of educational mobile robot with Mecanum wheels and voice enabled dialogue-based human robot interaction model was established. Moreover, new trends in using deep neural networks for cloud-and edge-based speech recognition was described in detail. Finally, the progress of both the cloudand edge-based speech recognition was reported. Especially, promising usability test result on resisting room reverberation and background noise had been achieved by the proposed convolutional neural network (CNN)-based wake-up word (WUW) spotting system.",
author = "Nayden Chivarov and Denis Chikurtev and Matus Pleva and Stanislav Ondas and Jozef Juhar and Liao, {Yuan Fu}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2019 ; Conference date: 21-11-2019 Through 22-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICETA48886.2019.9040010",
language = "English",
series = "ICETA 2019 - 17th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "115--121",
editor = "Frantisek Jakab",
booktitle = "ICETA 2019 - 17th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings",
address = "美國",
}