利用人工智能语音识别技术让老年人更轻松地使用手机

Dr. Rajendra Kumar Mahto
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摘要

在相当长的一段时间里,人们已经意识到老年人难以操作手机、经常拒绝与现代技术联系的问题。老年人排斥智能设备(包括智能手机)的社会现象早已有之。主要原因是大多数智能手机的系统过于复杂,老年人难以理解。老人迫切希望摆脱阻碍自己的请求被输入系统的障碍。相反,人工智能语音识别可以从根本上解决这个问题,因为它可以用基于机器学习的指令理解取代人工操作部分。人工智能语音识别可以分析语音指令,识别关键词以形成订单,并通过本文介绍的深度学习技术最终正确执行订单。语音识别软件可以自动做出快速反应,并根据老人的声音特征识别其健康状况。本文的目的是探讨如何创建专门针对特定人群(如系统的目标受众--老年人)的人工智能语音识别系统。此外,本文还对人工智能语音识别在心理学研究和心理健康治疗领域的应用进行了逻辑预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Use of Voice Recognition AI to Make It Easier for Elderly People to Use Mobile Phones
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.
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