The selection of spectral magnitude exponents for separating two sources is dominated by phase distribution not magnitude distribution

S. Voran
{"title":"The selection of spectral magnitude exponents for separating two sources is dominated by phase distribution not magnitude distribution","authors":"S. Voran","doi":"10.1109/WASPAA.2017.8170039","DOIUrl":null,"url":null,"abstract":"Separating an acoustic signal into desired and undesired components is an important and well-established problem. It is commonly addressed by decomposing spectral magnitudes after exponentiation and the choice of exponent has been studied from numerous perspectives. We present this exponent selection problem as an approximation to the actual underlying geometric situation. This approach makes apparent numerous basic facts and some of these have been ignored or violated in related work efforts. We show that exponent selection is dominated by the phase distribution and that magnitude distributions have almost no influence. We also show that exponents can be much more effectively selected in the estimated-source domain, rather than in the domain of the combined sources. Finally we describe the mechanism that causes exponents slightly above 1.0 to be preferred in many cases, completely independent of source distributions.","PeriodicalId":128993,"journal":{"name":"2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WASPAA.2017.8170039","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

Separating an acoustic signal into desired and undesired components is an important and well-established problem. It is commonly addressed by decomposing spectral magnitudes after exponentiation and the choice of exponent has been studied from numerous perspectives. We present this exponent selection problem as an approximation to the actual underlying geometric situation. This approach makes apparent numerous basic facts and some of these have been ignored or violated in related work efforts. We show that exponent selection is dominated by the phase distribution and that magnitude distributions have almost no influence. We also show that exponents can be much more effectively selected in the estimated-source domain, rather than in the domain of the combined sources. Finally we describe the mechanism that causes exponents slightly above 1.0 to be preferred in many cases, completely independent of source distributions.
用于分离两个源的光谱幅度指数的选择主要取决于相位分布而不是幅度分布
将声信号分成需要的和不需要的分量是一个重要的和公认的问题。它通常是通过分解指数后的光谱幅度来解决的,指数的选择已经从多个角度进行了研究。我们提出这个指数选择问题作为一个近似的实际潜在的几何情况。这种做法使许多基本事实变得明显,其中一些事实在有关工作中被忽视或违反。我们发现指数的选择主要受相位分布的影响,而幅度分布几乎没有影响。我们还表明,指数可以更有效地选择在估计源域,而不是在组合源域。最后,我们描述了导致指数在许多情况下略高于1.0的机制,完全独立于源分布。
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