说话人识别的综合研究及其挑战

Venkata Syama Sowmya Sri Hari, Arun Kumar Annavarapu, Vamsi Shesamsetti, Sathwik Nalla
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引用次数: 1

摘要

言语研究是测量人类活动中唯一识别和可测量模式的一个分支。它传达了一个人性格的细节。作为说明,考虑性别、年龄、情感和健康状况。声音识别是一种纯粹借助声音脉冲来识别人的过程。以语音助手和智能设备为基础,一些学者正在这一领域进行探索。这篇文章提供了说话人识别的详细信息。此外,在众所周知的机器学习方法之前,还描述了一种不同的对抗技术。本研究概述了说话人识别的系统、建模方法、应用和一些基础理论。将讨论说话人识别技术的优势。
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Comprehensive Research on Speaker Recognition and its Challenges
The study of speech is a subfield of the measurement of uniquely identifying and measurable patterns in human activity. It communicates details about a person's characteristics. As an illustration, consider gender, age, emotion, and health status. Voice Identification is the process of pointing person purely with the help of vocal pulses. Using voice assistants and smart gadgets as a base, several academics are exploring in this field. This article offers detailed information on speaker recognition. Additionally, a different adversarial technique is described in advance of the well-known machine learning methods. This study provides an overview of the speaker recognition topic by covering its system, modelling approaches, applications, and some underlying theories. The strengths of speaker recognition technologies will be discussed.
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