冲突解决中的比较分析:计算机语音合成与人类语音产生的观点

Okpala Izunna Udebuana
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引用次数: 0

摘要

当涉及到来自不同背景和环境的人们之间的交流时,冲突是不可避免的。计算机系统也会以bug的形式经历冲突。最自然的是,在任何形式的冲突发生之前,无论是想法还是看法,都必须有某种形式的沟通。语言是人类之间最古老、最自然的信息交换手段之一。为了解决某些冲突,人类在人机界面中相互说话和倾听,但计算机在人机界面中与人类对话。当一个给定的演讲呈现给不同的人时,所产生的回声可能会被不同的理解或感知。本文基于比较方法,重点介绍了使用人类语音生成与计算机语音生成相比,在冲突解决中记录的成功案例。作者使用try-catch块伪代码注册了计算机中的冲突解决实践,它在冲突解决中的有效性,加上它所缺乏的属性,然后将其与人类在冲突解决方面的功能进行比较,以找到更好的方法。本研究采用的方法本质上是定性的。作者探讨了应用人工智能系统的阶段和技术,该系统可以扫描给定的语音生成,以及大脑在最终发出声音之前如何处理信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis in Conflict Resolution: Computer Speech Synthesis and Humans Speech Production in View
Conflict is inevitable when it comes to communication between people from diverse background and settings. Computer systems also experience conflicts in form of bugs. Most naturally, before conflict of any sort occurs, be it ideas or perception, there must be some form of communication. Speech is one of the oldest and most natural means of information exchange between human beings. Humans speak and listen to each other in human-human interface in order to resolve certain conflicts, but computers speak to humans in a computer-human interface. The echo that comes out of a given speech might be understood or perceived differently when presented to different people. This paper is based on a comparative approach and focuses on given a run-down of the successes recorded in conflict resolution using human speech production in contrast to computer speech production. The author registers the conflict resolution practices in computers using a try-catch block pseudocode, its effectiveness in conflict resolution, plus the properties it lacks, and then, compares it to that of human functions as regards conflict resolution, in order to find a better approach. The methodology employed in this research is qualitative in nature. The author explores the stages and techniques of applying an artificial Intelligence system that scans through a given speech production and also how the brain processes information before it is finally voiced out.
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