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计算机系统应用英文版:2022,31(11):393-399

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基于MFCC-IMFCC和GA-SVM的鸟声识别

韩鹏飞¹, 陈晓^1,2

(1.南京信息工程大学电子与信息工程学院, 南京 210044;2.南京信息工程大学江苏省大气环境与装备技术协同创新中心, 南京 210044)

Bird Sound Recognition Based on MFCC-IMFCC and GA-SVM

HAN Peng-Fei¹, CHEN Xiao^1,2

(1.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;2.Jiangsu Provincial Collaborative Innovation Center of Atmosphere Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China)

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本文已被：浏览 771次下载 1535次
Received:February 22, 2022 Revised:March 23, 2022

中文摘要: 鸟声识别研究中声音特征选取对识别分类的准确度有很大影响. 为了提高鸟声识别正确率, 针对传统的梅尔倒谱系数(MFCC)对鸟声高频信息表征不足. 提出了基于Fisher准则MFCC和翻转梅尔倒谱系数(IMFCC)的特征融合, 得到新的特征参数MFCC-IMFCC应用于鸟声识别, 提高对鸟声高频信息表征. 同时通过遗传算法(GA)对支持向量机(SVM)中的惩罚因子C和核参数g进行优化, 训练出GA-SVM分类模型. 实验表明, 在同一条件下, MFCC-IMFCC与MFCC相比, 识别率有一定的提高.

中文关键词: 梅尔倒谱系数逆梅尔倒谱系数 Fisher准则 GA-SVM 声音识别

Abstract:In the research of bird sound recognition, the selection of sound features has a great impact on the accuracy of recognition and classification. To improve the accuracy of bird sound recognition, this study starts with the problem that the traditional Mel frequency cepstral coefficient (MFCC) characterizes the high-frequency information in bird sound insufficiently. Feature fusion of MFCC based on Fisher criterion and inverted MFCC (IMFCC) is proposed to obtain a new feature parameter MFCC-IMFCC that can be applied to bird sound recognition to improve the characterization of the high-frequency information in bird sound. Meanwhile, the penalty factor C and the kernel parameter g in the support vector machine (SVM) are optimized by a genetic algorithm (GA), and a GA-SVM classification model is trained. Experiments show that under the same conditions, the recognition rate of the MFCC-IMFCC approach is higher than that of the MFCC one.

keywords: Mel frequency cepstral coefficient (MFCC) inverted Mel frequency cepstrum coefficient (IMFCC) Fisher criterion GA-SVM sound recognition

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Author Name	Affiliation	E-mail
HAN Peng-Fei	School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
CHEN Xiao	School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China Jiangsu Provincial Collaborative Innovation Center of Atmosphere Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China	chenxiao@nuist.edu.cn

Author Name	Affiliation	E-mail
HAN Peng-Fei	School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
CHEN Xiao	School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China Jiangsu Provincial Collaborative Innovation Center of Atmosphere Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China	chenxiao@nuist.edu.cn

引用文本：
韩鹏飞,陈晓.基于MFCC-IMFCC和GA-SVM的鸟声识别.计算机系统应用,2022,31(11):393-399
HAN Peng-Fei,CHEN Xiao.Bird Sound Recognition Based on MFCC-IMFCC and GA-SVM.COMPUTER SYSTEMS APPLICATIONS,2022,31(11):393-399