In this paper we present an audio segmentation technique by searching similar sections of a song. The search is performed on MPEG-7 low-level audio feature descriptors as a growing source of multimedia meta data. These descriptors are available every 10 ms of audio data. For each block the similarity to each other block is determined. The result of this operation is a matrix which contains off-diagonal stripes representing similar regions. At that point some postprocessing is necessary due to a very disturbed structure of the similarity matrix. Using the a-priori knowledge that we search off-diagonal stripes which must represent several seconds of audio data we implemented a filter to enhance the structure of the similarity matrix. The last step is to extract the off-diagonal stripes and match them into the time domain of the audio data.

Date Published: 10 January 2003
PDF: 8 pages
Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); doi: 10.1117/12.476256

Published in SPIE Proceedings Vol. 5021:
Storage and Retrieval for Media Databases 2003
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)