摘要
声纹识别也被称为说话人识别,是利用计算机技术及其他信息技术对声纹进行辨认从而对说话人的身份进行匹配的生物特征识别技术。声纹识别系统主要包括特征提取和模式识别,将主要以声纹识别技术的发展历程为主线,阐述常用于特征提取的线性预测倒谱系数,梅尔频率倒谱系数和几种常用于声纹识别系统的网络模型。
Voiceprint recognition,also known as speaker recognition,is a biometric recognition technology that uses computer technology and other in⁃formation technologies to recognize voiceprints to match the identity of the speaker.The voiceprint recognition system mainly includes fea⁃ture extraction and pattern recognition.The development process of voiceprint recognition technology will be the main line,and the linear prediction cepstrum coefficients commonly used in feature extraction,Mel frequency cepstrum coefficients and several commonly used voiceprints will be explained.Identify the network model of the system.
作者
曾桂南
吴恋
何燕琴
郭清粉
ZENG Guinan;WU Lian;HE Yanqin;GUO Qinfen(School of Mathematics and Big Data,Guizhou Education University,Guiyang 550018;Big Data Science and Intelligent Engineering Research Institute,Guizhou Education University,Guiyang 550018)
出处
《现代计算机》
2021年第21期72-75,80,共5页
Modern Computer
关键词
声纹识别
发展
线性预测倒谱系数
梅尔频率倒谱系数
网络模型
Voiceprint Recognition
Development
Linear Prediction Cepstrum Coefficient
Mel Frequency Cepstrum Coefficient
Network Model
