Voice Biometric Systems for User Identification and Authentication – A Literature Review

Amjad Hassan Khan M. K., P. Aithal
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引用次数: 1

Abstract

Purpose: Biometric trends are used in many systems because of security aspects. The cryptosystem is such an example which uses a biometric. But due to stored biometric data for the authentication, this can be a dangerous issue. Therefore, in comparison to conventional used biometric system, voice biometric system provides an efficient safety, security and unique identity. Among various speech recognition or processing methods, there is one called automated speech conversion methods, which also used to convert the recorded voice into text format. The overall concept of voice reorganization and voice biometric system is based on the acoustic modelling. Therefore, for getting the perfect speech detection, robust acoustic modelling is required. Our analysis describes the advancement and usage of voice biometric system for user identification and authentication. This paper provides a descriptive review of different voice biometric systems, their advancement and applications in different fields. Methodology: The core principles of the research issue have been well discussed in the literature review on speech biometrics. During this process, selected journals from a variety of secondary data sources, such as research papers published in a variety of reputed journals periodicals that are related to the topic are studied in the methodology. Findings/Result: A vocal biometric system is a biological system that captures an individual's voice and assigns it a unique characteristic for authentication purposes. This speech biometric method is primarily used to provide secure, quick, and frictionless access to various electronic devices. In the last three years, rapid technological advancements in neural networks have improved the deployment of speech biometric systems in a variety of industries. The majority of speech biometric system designs are based on the CPU, necessary power, and memory concepts. The advancement of software and hardware interface has been dramatically enhanced and implemented for many applications in the last few years, including smart watches, mobile phones, and car locking systems, where the interface between humans and electronics devices is critical. Banking security, attendance system, file access system, security control, and forensic development system are some of the other commercial applications. Originality: Following the literature study, the findings were utilized to conclude that, despite advances in biometric technology, there is still a significant gap in practical application, particularly for voice biometric systems. When building and developing a voice biometric system, it is necessary to integrate it with an IoT system. Paper Type: Literature Review.
用于用户识别和认证的语音生物识别系统-文献综述
目的:由于安全方面的原因,生物识别趋势在许多系统中使用。密码系统就是这样一个使用生物识别技术的例子。但是由于存储了用于身份验证的生物识别数据,这可能是一个危险的问题。因此,与传统使用的生物识别系统相比,语音生物识别系统提供了高效的安全性、安全性和独特的身份识别。在各种语音识别或处理方法中,有一种称为自动语音转换方法,它也用于将录制的语音转换为文本格式。语音重组和语音生物识别系统的总体概念是基于声学建模的。因此,为了获得完美的语音检测,需要进行鲁棒的声学建模。我们的分析描述了语音生物识别系统在用户识别和认证方面的进展和使用。本文对不同的语音生物识别系统及其在不同领域的应用进行了综述。研究方法:在语音生物识别的文献综述中,已经很好地讨论了研究问题的核心原理。在此过程中,从各种次要数据源中选择的期刊,例如发表在各种知名期刊上的研究论文,这些期刊与主题相关,在方法上进行了研究。发现/结果:声音生物识别系统是一种捕捉个人声音并赋予其独特特征以进行身份验证的生物系统。这种语音生物识别方法主要用于提供对各种电子设备的安全、快速和无摩擦的访问。在过去的三年中,神经网络的快速技术进步改善了语音生物识别系统在各种行业的部署。大多数语音生物识别系统的设计都是基于CPU、必要的电源和内存的概念。在过去几年中,软件和硬件接口的进步在许多应用中得到了极大的增强和实现,包括智能手表、移动电话和汽车锁定系统,在这些应用中,人与电子设备之间的接口至关重要。银行安全、考勤系统、文件访问系统、安全控制和取证开发系统是其他一些商业应用。原创性:根据文献研究,研究结果被用来得出结论,尽管生物识别技术取得了进步,但在实际应用中仍然存在重大差距,特别是在语音生物识别系统方面。在构建和开发语音生物识别系统时,有必要将其与物联网系统集成。论文类型:文献综述。
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