摘要
声纹识别是一种生物特征识别技术。为提高声纹识别在噪声复杂环境下的准确程度和识别率,本文提出了一个在噪声复杂环境下的声纹识别深度学习的改进模型。实验的结果表明,在噪声复杂环境下,该模型显著提升了声纹识别的准确程度和识别率。
Voiceprint recognition is a biometric recognition technology.To improve the accuracy and recognition rate of voiceprint recognition in noisy and complex environments,this paper proposes an improved deep learning model for voiceprint recognition in noisy and complex environments.The experimental results show that in a noisy and complex environment,the model significantly improves the accuracy and recognition rate of voiceprint recognition.
作者
罗娅娅
李智
刘苛
雷智美
LUO Yaya;LI Zhi;LIU Ke;LEI Zhimei(Department of Information Engineering,Guizhou Mechanical and Electrical Vocational and Technical College,Duyun,China,558000)
出处
《福建电脑》
2024年第8期27-29,共3页
Journal of Fujian Computer
关键词
声纹识别
深度学习
时延神经网络
特征提取
Voiceprint Recognition
Deep Learning
Delay Neural Network
Feature Extraction