Comparative analysis of speech enhancement methods

Pankai Gael, M. Chandra, P. Saxena, V. Gupta
{"title":"Comparative analysis of speech enhancement methods","authors":"Pankai Gael, M. Chandra, P. Saxena, V. Gupta","doi":"10.1109/WOCN.2013.6616238","DOIUrl":null,"url":null,"abstract":"In this paper, comparative analysis of various speech enhancement methods in different noisy environments is presented. Speech signal corrupted with car noise and F16 noise is used for analysis. Spectral Subtraction, Iterative Spectral Subtraction, Geometrical Approach and Wiener filtering based methods, TSNR (Two Step Noise Reduction) and HRNR (Harmonic Regeneration Noise Reduction) methods are implemented in frequency domain for speech enhancement. Simulations are done on MATLAB7.3. The HRNR gives a maximum 35.77dB improvement in SNR for car noise and a maximum 30.54dB improvement in SNR for F16 noise at -10dB input SNR level.","PeriodicalId":388309,"journal":{"name":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2013.6616238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In this paper, comparative analysis of various speech enhancement methods in different noisy environments is presented. Speech signal corrupted with car noise and F16 noise is used for analysis. Spectral Subtraction, Iterative Spectral Subtraction, Geometrical Approach and Wiener filtering based methods, TSNR (Two Step Noise Reduction) and HRNR (Harmonic Regeneration Noise Reduction) methods are implemented in frequency domain for speech enhancement. Simulations are done on MATLAB7.3. The HRNR gives a maximum 35.77dB improvement in SNR for car noise and a maximum 30.54dB improvement in SNR for F16 noise at -10dB input SNR level.
语音增强方法的比较分析
本文对不同噪声环境下的语音增强方法进行了比较分析。用汽车噪声和F16噪声干扰的语音信号进行分析。在频域实现了基于谱减法、迭代谱减法、几何法和维纳滤波的方法,以及两步降噪(TSNR)和谐波再生降噪(HRNR)方法来增强语音。仿真在MATLAB7.3上完成。在-10dB输入信噪比水平下,HRNR对汽车噪声的信噪比最大提高35.77dB,对F16噪声的信噪比最大提高30.54dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信