DocumentCode
2700694
Title
Two-Stage Method for Specific Audio Retrieval
Author
Wei-Qiang Zhang ; Jia Liu
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
4
fYear
2007
fDate
15-20 April 2007
Abstract
Specific audio retrieval, also referred as similarity-based audio retrieval, means to detect and locate a given query audio segment in a long stored audio signal. In this paper, we proposed a two-stage method for specific audio retrieval. In the first stage, the histogram pruning algorithm is used for coarse detection. In the second stage, the partial distance technique is used for fine verification and localization. Experimental results show that the two-stage coarse-to-fine method offers fast search speed and improves the robustness to additive noise and compression encoding.
Keywords
audio coding; data compression; query processing; additive noise; compression encoding; histogram pruning algorithm; partial distance technique; query audio segment; similarity-based audio retrieval; specific audio retrieval; two-stage coarse-to-fine method; two-stage method; Additive noise; Content based retrieval; Educational technology; Encoding; Histograms; Indexing; Information retrieval; Music information retrieval; Noise robustness; Streaming media; Audio retrieval; histogram pruning; two-stage method;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.367169
Filename
4218043
Link To Document