Dominant feature vectors based audio similarity measure

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3332, Issue , 2004, Pages 890-897

  Gu, Jing ^a   Lu, Lie ^b   Cai, Rui ^a   Zhang, Hong Jiang ^b   Yang, Jian ^a  

^a TSINGHUA UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO RECORDINGS; INFORMATION RETRIEVAL;

AUDIO CLIPS; AUDIO SIMILARITIES; CONVENTIONAL METHODS; FEATURE CHANGES; FEATURES VECTOR; FRAME FEATURES; FUNDAMENTAL PROPERTIES; MEAN AND STANDARD DEVIATIONS; SIMILARITY MEASURE; TIME LINE; AUDIO RETRIEVAL; FEATURE VECTORS;

VECTORS;

EID: 34547516607     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30542-2_110     Document Type: Article

References (4)

1. L. Lu, H.-J. Zhang, and H. Jiang, "Content Analysis for Audio Classification and Segmentation", IEEE Trans. on Speech and Audio Processing, 10(7):504-516, 2002.
2. E. Wold, T. Blum, D. Keislar, and J. Wheaton, "Content-based Classification, Search, and Retrieval of Audio", IEEE Multimedia, 3(3):27-36, 1996.
3. R. Cai, L. Lu, H.-J. Zhang, and L.-H. Cai, "Using Structure Patterns of Temporal and Spectral Feature in Audio Similarity Measure", Proc. of 11th ACM Multimedia, pp. 219-222, 2003.
4. M. Basseville, "Distance Measure for Signal Processing and Pattern Recognition", Signal Processing, 18(4):349-369, 1989.