基于非负矩阵分解的复调声事件检测研究进展

2016 International Computer Symposium (ICS) Pub Date : 2016-12-01 DOI:10.1109/ICS.2016.0077

Manh-Quan Bui, Viet-Hang Duong, S. Mathulaprangsan, Bach-Tung Pham, Wei-Jing Lee, Jia-Ching Wang

{"title":"基于非负矩阵分解的复调声事件检测研究进展","authors":"Manh-Quan Bui, Viet-Hang Duong, S. Mathulaprangsan, Bach-Tung Pham, Wei-Jing Lee, Jia-Ching Wang","doi":"10.1109/ICS.2016.0077","DOIUrl":null,"url":null,"abstract":"Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.","PeriodicalId":281088,"journal":{"name":"2016 International Computer Symposium (ICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization\",\"authors\":\"Manh-Quan Bui, Viet-Hang Duong, S. Mathulaprangsan, Bach-Tung Pham, Wei-Jing Lee, Jia-Ching Wang\",\"doi\":\"10.1109/ICS.2016.0077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.\",\"PeriodicalId\":281088,\"journal\":{\"name\":\"2016 International Computer Symposium (ICS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Computer Symposium (ICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICS.2016.0077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Computer Symposium (ICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICS.2016.0077","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

声事件检测是当前机器监听领域的研究热点。检测重叠声音事件是一个具有挑战性和趣味性的课题，其中许多声音事件同时发生。此外，非负矩阵分解(NMF)及其衍生方法适合用于SED。本文综述了近年来基于NMF方法的SED方法，提供了对复音事件检测的理解和策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization

Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.

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

2016 International Computer Symposium (ICS)

自引率

0.00%

发文量