基于人工神经网络的交互式语音响应模式识别

S.A.A. Shah, A. ul Asar, S.W. Shah
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引用次数: 8

摘要

在当今信息技术的时代,信息现在只是一个电话。然而,诸如电话银行等应用程序需要额外的安全性,以使其为人们提供可靠的服务。通过电话申请PIN码/密码是不够的,还需要额外的用户特定信息,以更有效地保护用户的身份。在本文中,我们提出了一种基于神经网络的交互式语音应答(IVR)与模式识别的方法。在这种情况下,在输入正确的密码后,用户被要求输入他的声音样本,用于验证他的身份。在身份验证过程中加入语音模式识别可以潜在地进一步提高安全级别。由于两者同时应用,因此误用的可能性较小。所开发的系统完全符合后线电话系统的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive Voice Response with Pattern Recognition Based on Artificial Neural Network Approach
In the present era of information technology, information nowadays is just a telephone call away. However, applications such as telephone banking etc. need extra security for making it a reliable service for the people. Application of PIN code/password via telephone is not enough and additional user specific information is required that can protect the user identity in a more effective way. In this paper, we propose an approach that uses interactive voice response (IVR) with pattern recognition based on neural networks. In this case, after entering the correct password the user is asked to input his voice sample which is used to verify his identity. The addition of voice pattern recognition in the authentication process can potentially further enhance the security level. As both are simultaneously applied so there is lesser probability of misuse. The developed system is fully compliant with hind line phone system.
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