首页|比例优势逻辑回归优化嗓音障碍指数算法

比例优势逻辑回归优化嗓音障碍指数算法

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对嗓音障碍指数在提取传统声学特征参数时,缺少对非传统声学特征参数的分析优化问题,本文提出一种基于有序比例优势逻辑回归的优化嗓音障碍指数算法.首先,提取频谱平坦度并与嗓音障碍指数进行相关性分析;其次,运用比例几率逻辑回归方法,得到新的嗓音障碍指数方程;最后,对数据库中所取样本的本文优化算法指数和传统嗓音障碍指数进行对比分析.本文优化算法拓宽了DSI的取值范围.将本文算法应用于嗓音障碍分级中,实验结果表明该算法能够有效地确定嗓音障碍指数数值并能迅速得到良好的分类结果.
Proportional Dominance Logistic Regression Optimized Voice Disorder Index Algorithm
To address the problem that the voice impairment index lacks the analysis and optimization of non-traditional acoustic feature parameters when extracting traditional acoustic feature parameters,this paper proposes an algorithm to optimize the voice impairment index based on ordered proportional dominance logistic regression.Firstly,the spectral flatness is extracted and cor-related with the voice impairment index.Secondly,the new equation of voice disorder index is obtained by applying the propor-tional odds logistic regression method.Finally,a comparison is made between the DSI and the traditional voice disorder index for the samples taken from the database.This paper optimizes the algorithm to broaden the range of values for DSI.The algorithm in this paper is applied to the classification of voice disorders.The experimental results show that the algorithm can effectively deter-mine the values of DSI and obtain good classification results quickly.

acoustic analysislogistic regression of proportional dominancevoice disorder indexvoice class classificationspeech recognition

何若男、范翔、陈益、姜羽菲、曹辉

展开 >

陕西师范大学物理学与信息技术学院,陕西 西安 710119

深圳市高级中学文博高中,广东 深圳 518116

声学分析 比例优势逻辑回归 嗓音障碍指数 嗓音等级分类 语音识别

国家自然科学基金面上项目国家自然科学基金面上项目国家自然科学基金面上项目

113741991107415912374440

2024

10.3969/j.issn.1006-2475.2024.08.001

计算机与现代化
江西省计算机学会 江西省计算技术研究所

计算机与现代化

CSTPCD
影响因子：0.472
ISSN：1006-2475
年,卷(期)：2024.(8)
  • 15