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Speech Rate Control for Improving Elderly Speech Recognition of Smart DevicesSON, G.   , KWON, S. , LIM, Y. |
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Author keywords
automatic speech recognition, human computer interaction, speech analysis, man machine systems, human factor
References keywords
speech(15), time(4), communication(4), aging(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 79 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02011
Web of Science Accession Number: 000405378100011
SCOPUS ID: 85020117598
Abstract
Although smart devices have become a widely-adopted tool for communication in modern society, it still requires a steep learning curve among the elderly. By introducing a voice-based interface for smart devices using voice recognition technology, smart devices can become more user-friendly and useful to the elderly. However, the voice recognition technology used in current devices is attuned to the voice patterns of the young. Therefore, speech recognition falters when an elderly user speaks into the device. This paper has identified that the elderly's improper speech rate by each syllable contributes to the failure in the voice recognition system. Thus, upon modifying the speech rate by each syllable, the voice recognition rate saw an increase of 12.3%. This paper demonstrates that by simply modifying the speech rate by each syllable, which is one of the factors that causes errors in voice recognition, the recognition rate can be substantially increased. Such improvements in voice recognition technology can make it easier for the elderly to operate smart devices that will allow them to be more socially connected in a mobile world and access information at their fingertips. It may also be helpful in bridging the communication divide between generations. |
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[1] Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services, Pérez, Francisco Maciá, Fonseca, Iren Lorenzo, Martínez, José Vicente Berná, Maciá-Fiteni, Alex, IEEE MultiMedia, ISSN 1070-986X, Issue 1, Volume 30, 2023.
Digital Object Identifier: 10.1109/MMUL.2022.3206398 [CrossRef]
[2] Fuzzy Integral and Cuckoo Search Based Classifier Fusion for Human Action Recognition, AYDIN, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.01001 [CrossRef] [Full text]
[3] DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software, Wang, Yang Yang, Gao, Ke, Kloepper, Ashley M., Zhao, Yunxin, Kuruvilla-Dugdale, Mili, Lever, Teresa E., Bunyak, Filiz, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), ISBN 978-1-7281-0848-3, 2019.
Digital Object Identifier: 10.1109/BHI.2019.8834506 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
