基于联合多项式和分段线性逼近的时变谐波和暂态信号建模

M. Zivanovic, J. Schoukens
{"title":"基于联合多项式和分段线性逼近的时变谐波和暂态信号建模","authors":"M. Zivanovic, J. Schoukens","doi":"10.5281/ZENODO.41900","DOIUrl":null,"url":null,"abstract":"We present a compact approach to simultaneous modeling of non-stochastic time-variant components in audio signals. We show that the harmonic energy can be properly described by a single polynomial, while short events are well captured by a continuous piecewise linear function. The proposed method is robust to fundamental frequency estimation errors and inharmonicities in the audio signal. The comparative results suggest that our method achieves the performance of the state-of-the-art by using much less parameters and thus yielding higher computational efficiency.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Time-variant harmonic and transient signal modeling by joint polynomial and piecewise linear approximation\",\"authors\":\"M. Zivanovic, J. Schoukens\",\"doi\":\"10.5281/ZENODO.41900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a compact approach to simultaneous modeling of non-stochastic time-variant components in audio signals. We show that the harmonic energy can be properly described by a single polynomial, while short events are well captured by a continuous piecewise linear function. The proposed method is robust to fundamental frequency estimation errors and inharmonicities in the audio signal. The comparative results suggest that our method achieves the performance of the state-of-the-art by using much less parameters and thus yielding higher computational efficiency.\",\"PeriodicalId\":409817,\"journal\":{\"name\":\"2010 18th European Signal Processing Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 18th European Signal Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.41900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.41900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

我们提出了一种紧凑的方法来同时建模音频信号中的非随机时变分量。我们证明谐波能量可以用一个多项式来描述,而短事件可以用一个连续的分段线性函数来描述。该方法对音频信号中的基频估计误差和非谐波具有较强的鲁棒性。比较结果表明,我们的方法通过使用更少的参数实现了最先进的性能,从而产生更高的计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-variant harmonic and transient signal modeling by joint polynomial and piecewise linear approximation
We present a compact approach to simultaneous modeling of non-stochastic time-variant components in audio signals. We show that the harmonic energy can be properly described by a single polynomial, while short events are well captured by a continuous piecewise linear function. The proposed method is robust to fundamental frequency estimation errors and inharmonicities in the audio signal. The comparative results suggest that our method achieves the performance of the state-of-the-art by using much less parameters and thus yielding higher computational efficiency.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信