Computer Science – Multimedia
Scientific paper
2007-10-23
IEEE Transactions on Audio, Speech and Language Processing, Vol.16, No.2, pp.396-407, February 2008.
Computer Science
Multimedia
20 pages, to appear in IEEE Transactions on Audio, Speech and Language Processing
Scientific paper
10.1109/TASL.2007.912362
This paper presents a new method for a quick similarity-based search through long unlabeled audio streams to detect and locate audio clips provided by users. The method involves feature-dimension reduction based on a piecewise linear representation of a sequential feature trajectory extracted from a long audio stream. Two techniques enable us to obtain a piecewise linear representation: the dynamic segmentation of feature trajectories and the segment-based Karhunen-L\'{o}eve (KL) transform. The proposed search method guarantees the same search results as the search method without the proposed feature-dimension reduction method in principle. Experiment results indicate significant improvements in search speed. For example the proposed method reduced the total search time to approximately 1/12 that of previous methods and detected queries in approximately 0.3 seconds from a 200-hour audio database.
Kashino Kunio
Kimura Akisato
Kurozumi Takayuki
Murase Hiroshi
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