Vocabulary model and User context-based Speech Recognition Assistant System for the elderly living alone


Mi-Hwa Song, Vol. 2, No. 2, pp. 9-14, Jun. 2020
10.22662/IJASC.2020.2.2.009, Full Text:
Keywords: IoT, Raspberry pi 3, speech recognition, Vocabulary Model, User Context

Abstract

As the fourth industrial age begins, research on speech recognition is actively being carried out. However, since speech recognition is developed based on the standard language, the recognition rate is lower for people using dialects and unusual tones. Because of these problems, it is more difficult to gather data because seniors and dialect users do not attempt to recognize speech. Therefore, to solve this problem, we have added a specific database and configured a speech recognition system that can be used by people who use dialects and unusual tones.


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Cite this article
[APA Style]
Mi-Hwa Song (2020). Vocabulary model and User context-based Speech Recognition Assistant System for the elderly living alone. International Journal of Advanced Science and Convergence, 2(2), 9-14. DOI: 10.22662/IJASC.2020.2.2.009.

[IEEE Style]
M. Song, "Vocabulary model and User context-based Speech Recognition Assistant System for the elderly living alone," International Journal of Advanced Science and Convergence, vol. 2, no. 2, pp. 9-14, 2020. DOI: 10.22662/IJASC.2020.2.2.009.

[ACM Style]
Mi-Hwa Song. 2020. Vocabulary model and User context-based Speech Recognition Assistant System for the elderly living alone. International Journal of Advanced Science and Convergence, 2, 2, (2020), 9-14. DOI: 10.22662/IJASC.2020.2.2.009.