Noise reduction and loudness compression in a wavelet modelling of the auditory system

T. de Perez, Min Li, H. McAllister, N. Black
{"title":"Noise reduction and loudness compression in a wavelet modelling of the auditory system","authors":"T. de Perez, Min Li, H. McAllister, N. Black","doi":"10.1109/ICCDCS.2000.869868","DOIUrl":null,"url":null,"abstract":"Describes the modelling of the normal auditory and hearing-impaired system for hearing aid design and addresses two major problems: noise reduction and loudness compression. This new integrated approach is based on a wavelet transform and a formulation of temporal and spectral psychoacoustic models of masking and loudness sensation. Within the model, a new subtraction algorithm is developed to model the masking phenomena and reduce noise in single-input systems. As a result, the enhanced speech quality has been significantly improved, especially in unvoiced portions. The noise component during silent periods has been attenuated by up to 20 dB. The auditory loudness sensation is also modelled with a homomorphic AGC for time-varying frequency-dependent compensation for loudness recruitment. The dynamic nonlinear weighting is a function of the wavelet coefficients. The homomorphic approach is found to be superior to linear AGC. Finally, the performance of the whole model is evaluated and compared with that obtained using the Chabries's model, and a significant improvement is found. It is concluded that optimal wavelet subtraction and homomorphic AGC are an appropriate combination to synergise noise reduction and loudness recruitment problems in hearing aid design.","PeriodicalId":301003,"journal":{"name":"Proceedings of the 2000 Third IEEE International Caracas Conference on Devices, Circuits and Systems (Cat. No.00TH8474)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2000 Third IEEE International Caracas Conference on Devices, Circuits and Systems (Cat. No.00TH8474)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCDCS.2000.869868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Describes the modelling of the normal auditory and hearing-impaired system for hearing aid design and addresses two major problems: noise reduction and loudness compression. This new integrated approach is based on a wavelet transform and a formulation of temporal and spectral psychoacoustic models of masking and loudness sensation. Within the model, a new subtraction algorithm is developed to model the masking phenomena and reduce noise in single-input systems. As a result, the enhanced speech quality has been significantly improved, especially in unvoiced portions. The noise component during silent periods has been attenuated by up to 20 dB. The auditory loudness sensation is also modelled with a homomorphic AGC for time-varying frequency-dependent compensation for loudness recruitment. The dynamic nonlinear weighting is a function of the wavelet coefficients. The homomorphic approach is found to be superior to linear AGC. Finally, the performance of the whole model is evaluated and compared with that obtained using the Chabries's model, and a significant improvement is found. It is concluded that optimal wavelet subtraction and homomorphic AGC are an appropriate combination to synergise noise reduction and loudness recruitment problems in hearing aid design.
听觉系统的小波建模中的降噪和响度压缩
描述了助听器设计的正常听觉和听力受损系统的建模,并解决了两个主要问题:降噪和压缩响度。这种新的综合方法是基于小波变换和掩蔽和响度感觉的时间和频谱心理声学模型的公式。在该模型中,开发了一种新的减法算法来模拟单输入系统中的掩蔽现象并降低噪声。因此,增强的语音质量得到了显着改善,特别是在不发音的部分。在静音期间的噪声成分已衰减高达20分贝。听觉响度感觉也用同态AGC建模,用于响度补充的时变频率补偿。动态非线性加权是小波系数的函数。发现同态方法优于线性AGC方法。最后,对整个模型的性能进行了评估,并与使用Chabries模型得到的结果进行了比较,发现了显著的改进。综上所述,最佳小波减法和同态AGC是助听器设计中降噪和增声问题的合适组合。
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