Searching musical audio datasets by a batch of multi-variant tracks

Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

Volumn , Issue , 2008, Pages 121-127

  Yu, Yi ^a   Downie, J Stephen ^b   Chen, Lei ^c   Oria, Vincent ^d   Joe, Kazuki ^a  

^a NARA WOMEN'S UNIVERSITY   (Japan)

^b Berklee College of Music   (United States)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^d University Heights   (United States)

Author keywords

Content based audio retrieval; Cover songs; Hash based; Indexing; Musical audio sequences summarization

Indexed keywords

AUDIO FEATURES; AUDIO RETRIEVAL; AUDIO TRACK; AUDIO-BASED; COMPUTER ASSISTED; CONTENT-BASED; DATA SETS; EVALUATION TOOL; K-NEAREST NEIGHBORS; LOCALITY SENSITIVE HASHING; MUSIC RECORDING; MUSICAL AUDIO; RETRIEVAL SYSTEMS; SEMANTIC INDEXING; SIMILARITY SEARCHING; SOCIAL CLUBS;

ACOUSTIC SIGNAL PROCESSING; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; INFORMATION SERVICES; INTERNET; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; SEMANTICS;

AUDIO ACOUSTICS;

EID: 70450242881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460117     Document Type: Conference Paper

References (20)

1. J. S. Downie. The Music Information Retrieval Evaluation eXchange (MIREX). In D-Lib Magazine 12, 2006. http://dlib.org/dlib/december06/downie/ 12downie.html.
2. J. P. Bello. Audio-based Cover Song Retrieval Using Approximate Chord Sequences: Testing Shifts, Gaps, Swaps and Beats. ISMIR'07, pp.239-244, 2007.
3. D. Ellis and G. Poliner. Identifying cover songs with chroma features and dynamic programming beat tracking. ICASSP'07, 2007.
4. Y. Yu, K. Joe, and J. S. Downie. Efficient Query-by- Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison. IEICE Transaction on Information and System, Vol.E91-D, No.6, pp1730-1739, 2008.
5. Y. Yu, J. S. Downie, and K. Joe. An Evaluation of Feature Extraction for Query-by-Content Audio Information Retrieval. Ninth IEEE International Symposium on Multimedia Workshops (ISMW), pp. 297-302, 2007.
6. Y. Yu, M. Takata, and K. Joe. Index-Based Similarity Searching with Partial Sequence Comparison for Query-by-Content Audio Retrieval. Workshop on Learning Semantics of Audio Signals (LSAS'06), pp.76-86, 2006.
7. F.Moerchen, I. Mierswa, and A. Ultsch. Understandable Models of Music Collection based on Exhaustive Feature Generation with Temporal Statistics. KDD'06, pp.882-891, 2006.
8. C.Yang. Efficient Acoustic Index for Music Retrieval with Various Degrees of Similarity. ACM Multimedia, pp.584-591, 2002.
9. B. Cui, J.L. Shen, G. Cong, H.T. Shen, and C. Yu. Exploring Composite Acoustic Features for Efficient Music Similarity Query. ACM MM'06, pp.634-642, 2006.
10. T. Pohle, M. Schedl, P. Knees, and G. Widmer. Automatically Adapting the Structure of Audio Similarity Spaces. Workshop on Learning Semantics of Audio Signals (LSAS'06), pp.66-75, 2006.
11. LSH Algorithm and Implementation (E2LSH) http://web.mit.edu/andoni/www/ LSH/index.html.
12. P. Indyk and N. Thaper. Fast color image retrieval via embeddings. Workshop on Statistical and Computational Theories of Vision (ICCV), 2003.
13. S.Y. Hu. Efficient Video Retrieval by Locality Sensitive Hashing. ICASSP'05, pp.449-452, 2005.
14. J. Reiss, J. J. Aucouturier, and M. Sandler. Efficient multi dimensional searching routines for music information retrieval. ISMIR'01, 2001.
15. I. Karydis, A. Nanopoulos, A. N. Papadopoulos and Y. Manolopoulos. Audio Indexing for Efficient Music Information Retrieval. MMM'05, pp.22-29, 2005.
16. M. Casey and M. Slaney. Song Intersection by Approximate Nearest Neighbor Search. ISMIR'06, pp.144-149, 2006.
17. M. Lesaffre and M. Leman. Using Fuzzy to Handle Semantic Descriptions of Music in a Content-based Retrieval System. Workshop on Learning Semantics of Audio Signals (LSAS'06), pp.43-5, 2006.
18. G. Tzanetakis and P. Cook. Musical Genre Classification of Audio Signals. IEEE Transactions on Speech and Audio Processing, Vol.10, No.5, pp. 293-302, 2002.
19. R. Miotto and N. Orio. A Methodology for the Segmentation and Identification of Music Works. ISMIR'07, pp.239-244, 2007.
20. L.Rabiner and B.-H. Juang. Fundamentals of Speech Recognition. Prentice-Hall, 1993.