音频信号识别的联合分布方法

A. Al-Shoshan
{"title":"音频信号识别的联合分布方法","authors":"A. Al-Shoshan","doi":"10.1109/GMAI.2006.2","DOIUrl":null,"url":null,"abstract":"The purpose of audio signal discrimination is needed to build two different libraries: speech library and music library, from a stream of sounds. The classification algorithms of audio signal can be divided into three categories: time-domain, frequency-domain, and time-frequency domain approaches. The first two approaches were discussed thoroughly in literature. Since audio signals are considered nonstationary, in general, these two approaches may fail in reflecting the behavior of each signal correctly. Therefore, in this paper, a joint distribution approach, the evolutionary spectrum (ES), is introduced and proposed for the discrimination purpose. To show the effectiveness of the proposed method, some comparison examples with classical methods is done","PeriodicalId":438098,"journal":{"name":"Geometric Modeling and Imaging--New Trends (GMAI'06)","volume":"76 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Joint Distribution Approach for Audio Signal Discrimination\",\"authors\":\"A. Al-Shoshan\",\"doi\":\"10.1109/GMAI.2006.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of audio signal discrimination is needed to build two different libraries: speech library and music library, from a stream of sounds. The classification algorithms of audio signal can be divided into three categories: time-domain, frequency-domain, and time-frequency domain approaches. The first two approaches were discussed thoroughly in literature. Since audio signals are considered nonstationary, in general, these two approaches may fail in reflecting the behavior of each signal correctly. Therefore, in this paper, a joint distribution approach, the evolutionary spectrum (ES), is introduced and proposed for the discrimination purpose. To show the effectiveness of the proposed method, some comparison examples with classical methods is done\",\"PeriodicalId\":438098,\"journal\":{\"name\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"volume\":\"76 13\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geometric Modeling and Imaging--New Trends (GMAI'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMAI.2006.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geometric Modeling and Imaging--New Trends (GMAI'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMAI.2006.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

音频信号识别的目的是需要建立两个不同的库:语音库和音乐库,从一个声音流。音频信号的分类算法可分为时域、频域和时频域三大类。前两种方法在文献中进行了深入的讨论。由于音频信号被认为是非平稳的,一般来说,这两种方法可能无法正确反映每个信号的行为。为此,本文引入并提出了一种联合分布方法——进化谱(ES)。为了验证该方法的有效性,给出了与经典方法比较的算例
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Joint Distribution Approach for Audio Signal Discrimination
The purpose of audio signal discrimination is needed to build two different libraries: speech library and music library, from a stream of sounds. The classification algorithms of audio signal can be divided into three categories: time-domain, frequency-domain, and time-frequency domain approaches. The first two approaches were discussed thoroughly in literature. Since audio signals are considered nonstationary, in general, these two approaches may fail in reflecting the behavior of each signal correctly. Therefore, in this paper, a joint distribution approach, the evolutionary spectrum (ES), is introduced and proposed for the discrimination purpose. To show the effectiveness of the proposed method, some comparison examples with classical methods is done
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