现代信息科技2025，Vol.9Issue(11)：5-8,4.DOI:10.19850/j.cnki.2096-4706.2025.11.002
低信噪比环境下的语音端点检测算法研究
Research on Speech Endpoint Detection Algorithm in Low Signal-to-Noise Ratio Environment
摘要
Abstract
To enhance the robustness and accuracy of speech endpoint detection in low Signal-to-Noise Ratio environment,a speech endpoint detection algorithm based on multi-window spectral estimation and subband quadratic spectral entropy is proposed.This algorithm integrates the advantages of subband quadratic spectral entropy and multi-window spectral estimation.First,the quadratic power spectrum of each frame of noisy speech signal is computed.Then,subband analysis is performed to derive the subband quadratic spectral entropy.Finally,on this basis,multi-window spectral estimation of multi-sine-window is incorporated into the subband quadratic spectral entropy to form new feature parameters for determining the start and end points of speech endpoint detection.Through MATLAB simulation verification,this algorithm has better noise robustness in low Signal-to-Noise Ratio environment compared to traditional speech endpoint detection algorithms.关键词
低信噪比/子带二次谱熵/多窗口谱估计/鲁棒性Key words
low Signal-to-Noise Ratio/subband quadratic spectral entropy/multi-window spectral estimation/robustness分类
计算机与自动化引用本文复制引用
符洪姿,陈锡锻,张林..低信噪比环境下的语音端点检测算法研究[J].现代信息科技,2025,9(11):5-8,4.基金项目
浙江省教育厅一般科研项目(Y202456016) （Y202456016）
