期刊文献+

基于内容的音频检索算法 被引量:2

Summarization of content-based audio retrieval algorithm
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摘要 介绍了基于内容的音频检索系统的基本结构,并在研究国内外相关文献的基础上,分析了音频检索算法的主要特点,划分为以下几种类型:近似字符串匹配算法、基于树结构的音频检索算法、基于动态时间规整的音频检索算法、基于隐马尔克夫模型的音频检索算法以及其它音频检索算法. The basic structure of Content-based audio retrieval system is introduced, and the audio retrieval algorithms is summarized based on an in-depth analysis of domestic and foreign relevant literature. According to the main features of the algorithms, they are divided into the following several types: approximate string matching algorithm, tree-based algorithm, dynamic time warping algorithm, HMM-based algorithm, and other kind of the audio retrieval algorithms.
出处 《河南科技学院学报》 2009年第3期69-72,共4页 Journal of Henan Institute of Science and Technology(Natural Science Edition)
关键词 音频检索 近似字符串匹配 动态时间规整 隐马尔可夫模型 content -based audio retrieval approximate string matching dynamic time warping hidden markov model
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参考文献13

  • 1Asif Ghias, Jonathan Logan,David Chamberlin,et al. Query By Humming:Musical Information Retrieval in an Audio Database [ M ]. Proceedings of the third ACM international conference on Multimedia, 1995 : 181-192.
  • 2刘怡,郝云飞.一种新的高效大型音乐数据库查询算法[J].湖南科技大学学报(自然科学版),2006,21(1):68-72. 被引量:6
  • 3王小凤,周明全,耿国华,郭红波.一个使用歌谱信息进行哼唱检索的系统[J].计算机辅助设计与图形学学报,2007,19(7):941-946. 被引量:7
  • 4Steven Blackburn, David DeRoure. A Tool for Content Based Navigation of Music [ M ].Proceedings of the sixth ACM international conference on Multimedia, 1998:361-368.
  • 5Charles L. Parker. A Tree-Based Method For Fast Melodic Retrieval[ M ]. Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, 2004:254-255.
  • 6Charles Parker, PAlan Fem,PPrasad Tadepalli. Learning for Efficient Retrieval of Structured Data with Noisy Queries [M ]. Proeeedings of the 24th international conference on Machine learning,2007 : 729-736.
  • 7Jonah Shifrin,Bryan Pardo, Colin Meek, et al. HMM-Based Musical Query Retrieval[M]. Proceedings of the 2nd ACM/ IEEE-CS joint conference on Digital libraries, 2002 : 295-300.
  • 8Jyh-Shing Roger Jang, Hong-Ru Lee.Hierarchical Filtering Method for Content-based Music Retrieval via Acoustic Input [ M ]. Proceedings of the ninth ACM international conference on Multimedia, 2001:401-410.
  • 9Jyh-Shing Roger Jang, Hong-Ru Lee, Jiang-Chun Chen. Super MBox:An Efficient/Effective Content-based Music Retrieval System[ M ]. Proceedings of the ninth ACM international conference on Multimedia,2001:636-637.
  • 10Erdem Unal, Shrikanth S. Narayanan,Elaine Chew. A statistical approach to retrieval under user-dependent uncertainty in query-by-humming systems [M ]. Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, 2004:113-118 .

二级参考文献43

  • 1杨志华,齐东旭,杨力华.一种基于Hilbert-Huang变换的基音周期检测新方法[J].计算机学报,2006,29(1):106-115. 被引量:19
  • 2[1]JIA-LIEN H A,Chea L P.Building a platform for performance study of various music information retrieval approaches [A].DOWNIE J S,BAIN BRIDGE D.Proceedings of the Second Annual International Symposium on Music Information Retrieval [C].Bloomington USA,2001.153-162.
  • 3[2]RAINER T,PANOS G,et al.Using transportation distances for measuriug melodic similarity[EB/OL].Online Proceedings of the 4th Annual lnternational Symposium on Music Information Retriewd,Washington,DC,USA,October 2003,http://ismir2003.ismir net.
  • 4[3]SHIFRIN J,PARDO B,MEEK C,et al.HMM-based masical query retrieval[A].Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries.Association for Computing Machinery[C].Portland,Oregon,USA,2002.295-300.
  • 5[4]JONAH S,WILLIAM B.Effectiveness of HMM-based retrieval on large databases [EB/OL].Online Proceedings of the 4th Annual International Symposium on Music Information Retrieval,Washington,DC,USA:ISMIR,2003.http://ismir2003.ismir.net.
  • 6[5]LIE Lu,HONG You,ZHANG Hong-jiang.A new approach to query by humming in music retrieval [A].Proc of IEEE International Conference on Multimedia and Expo[C].Tokyo:IEEE Inc,2001.776-779.
  • 7[6]JYH-SHING R J,LEE Hong-ru.Hierarchical filtering method for content-based music retrieval via acoustic input [EB/OL].Online Proceedings of the 9th ACM International Conference on Multimedia,Canada Ottawa,Ontario:ACM ,2001.401-410.http://www.informatik.uni-trier.de/~ley/db/conf/mm/mm2001 .html.
  • 8[7]BRONDSTED T,et al.A System for Recognition of Hummed Tunes [EB/OL].Online Proceedings of the COST G-6 Conference on Digital Audio Effects (DAFX-01),Ireland,Limerick,2001.http://www.csis.al.ie/dafx01.
  • 9[8]KOSUGI N,NISHIHARA Y,SAKATA T,et al.A practical query-by-humming system for a large music database [A].Online Proceedings of the 8th ACM International Conference on Multimedia[C].Los Angeles,CA,USA:ACM Inc,2000.333-342.
  • 10Makhoul J,Kubala F,et al. Speech and Language Technologies for Audio Indexing and Retrieval. In: Proc. of the IEEE, 2000,88 (8):1338-1353

共引文献24

同被引文献15

  • 1柳群英.基于内容的音频信息检索技术[J].现代情报,2005,25(6):91-93. 被引量:7
  • 2张燕,唐振民,李燕萍,钱博.基于内容的音乐检索综述[J].金陵科技学院学报,2007,23(2):25-29. 被引量:7
  • 3刑伟利.基于内容的音频检索技术研究与实现【硕士学位论文】.西北工业大学:西北工业大学图书馆,2004.
  • 4Etzioni O.The World Wide Web: Quagmire or gold mine[J]. Communications of ACM,1996,39(11):65-68.
  • 5KIRANYAZ S, QURESHI A F.A generic audio classifica- tion and segmentation approach for multimedia indexing and retrieval[J].IEEE Trans on Audio, Speech, and Language Pro- cessing, 2006,14(3):1062-1081.
  • 6SCAR1NGELLAN,ZOIAG,MLYNEKD.Automatic genreclas sification of music content,survey[J].IEEE Signal Processing Magazine,2006,23(2): 133-141.
  • 7CHAI W.Semantic segmentation and summarization of mu- sic[J].IEEE Signal Processing Magazine,2006,23 (2): 124-132.
  • 8Yang C-Y,Shin J-T,Kim J-W,Kim H-J. Korean folk song re- trieval using rhythm pattern classification//Proceedings of the IEEE the 5th International Symposium on Signal Proces- sing and Its Applications. Brisbane, 1999, 1:123-126.
  • 9McNab R J,Smith LA,Witten I H.Signal processing for melo- dy tmnscription[A].Australasian Computer Science confer- ence[C] Melbourne, Australia:Is. n.l,1996.301-307.
  • 10万旺根,常辽豫,余小清,崔滨,刘晗.音频信息检索研究现状与发展趋势[J].上海大学学报(自然科学版),2007,13(4):363-370. 被引量:3

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