The Use of Voice Recognition AI to Make It Easier for Elderly People to Use Mobile Phones

Authors

  • Dr. Rajendra Kumar Mahto  Assistant Professor, Department of Information Technology, Dr. Shayama Prasad Mukherjee University, Ranchi, India

DOI:

https://doi.org/10.32628/IJSRSET2411117

Keywords:

Voice Recognition, Speech Recognition, Artificial Intelligence, Phone.

Abstract

For a considerable amount of time, people have been aware of the issue that older people find it difficult to operate mobile phones and frequently decline to connect with modern technology. The social phenomenon of elder rejection of smart devices, including smartphones, has already been established. The main cause is that the majority of smartphones have complicated systems that are too hard for elderly people to understand. The elderly are desperate to get rid of the barrier preventing their requests from being entered into the system. Conversely, artificial intelligence speech recognition can essentially disregard this problem because it can replace the manual manipulation portion with command comprehension based on machine learning. AI speech recognition can analyze voice commands, identify key words to form into an order, and ultimately carry out the order correctly thanks to the deep learning techniques covered in this paper. Voice recognition software can automatically react quickly and identify the health conditions of the elderly based on characteristics of their voice. The goal of this article is to discover how to create AI voice recognition systems that are specifically tailored for a particular population, such as senior citizens, who are the system's intended audience. Additionally, this article offers logical predictions for the use of AI voice recognition in the fields of psychological research and mental health treatment.

References

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Published

2024-02-29

Issue

Section

Research Articles

How to Cite

[1]
Dr. Rajendra Kumar Mahto "The Use of Voice Recognition AI to Make It Easier for Elderly People to Use Mobile Phones" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 11, Issue 1, pp.209-213, January-February-2024. Available at doi : https://doi.org/10.32628/IJSRSET2411117