Evaluation of Performance of Artificial Intelligence System during Voice Recognition in Social Conversation

Fred Torres-Cruz, Swati Tyagi, Manoj Sathe, S. Mary, K. Joshi, Surendra Kumar Shukla
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引用次数: 3

Abstract

An effective speech signal chat bot’s concept and evolution are discussed in this study. A technological demonstration is presented in the study to test a suggested framework needed to enable such a fake account (a online service). All types of clients can communicate with the public server from any location thanks to web solutions. device, even if a black box method is utilised by regulating the framework between and to the webserver. The service is made available via a created interface that enables easy XML reading, and the flexibility increases the service’s longevity. The screen bot creates personalised user replies that are linked to the intended character by incorporating an artificial heart. Ununderstood questions sent to the bot are analysed further utilising a second classification model (a scientist doing online cognitive study), and the outcome is retained, improving the skills of the cybernetic organisms for the production of answers in the later.
人工智能系统在社交会话语音识别中的性能评价
本文讨论了有效语音信号聊天机器人的概念及其发展。研究中提出了一个技术演示,以测试启用此类假帐户(在线服务)所需的建议框架。借助web解决方案,所有类型的客户端都可以从任何位置与公共服务器通信。设备,即使使用黑盒方法来调节网络服务器之间的框架。该服务通过创建的接口提供,该接口支持简单的XML读取,并且这种灵活性增加了服务的寿命。通过植入人工心脏,屏幕机器人可以创建与预期角色相关联的个性化用户回复。发送给机器人的未理解问题将利用第二种分类模型(科学家进行在线认知研究)进一步分析,并保留结果,提高控制论有机体的技能,以便在后期产生答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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