Son, Guiyoung Kwon, Soonil Lim, Yoonseob 2024-01-20T02:32:37Z 2024-01-20T02:32:37Z 2021-09-05 2017-01 1582-7445 https://pubs.kist.re.kr/handle/201004/123260 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. English UNIV SUCEAVA, FAC ELECTRICAL ENG Speech Rate Control for Improving Elderly Speech Recognition of Smart Devices Article 10.4316/AECE.2017.02011 1 ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, v.17, no.2, pp.79 - 84 ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING 17 2 79 84 scie scopus 000405378100011 2-s2.0-85020117598 Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Computer Science Engineering Article automatic speech recognition human computer interaction speech analysis man machine systems human factor