By Topic

A new method for extracting a period of beat of music in compressed domain of TwinVQ audio compression

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Kobayakawa, M. ; Graduate Sch. of Informantion Syst., Univ. of Electro-Commun., Tokyo, Japan ; Okunaru, T. ; Onishi, K. ; Hoshi, M.

A beat is primitive information of music for content-based music analysis. Scheiner defined that a beat is the sequence of equally spaced phenomenal impulses which define a tempo for the music. To extract the beat of a piece of music is to estimate the duration between impulses from a sequence of signals of the music. We call the duration the "period of beat" or "period". In this paper, we propose a new method for extracting the period of beat of the music in the compressed domain of TwinVQ audio compression (MPEG-4 audio). Our key idea is to extract the period of the beat from the set of sequences of the autocorrelation coefficients computed in the encoding step of Twin VQ audio compression or directly computed from the bit streams without decoding. For extracting the period of beat of music, we apply time-frequency analysis to the sequence of the i-th autocorrelation coefficients (i = 1, ..., 20) and determine the period of the beat. To evaluate the performance of our method, we apply the TwinVQ audio compression to the signals of 62 polyphonic music ripped from music CD tracks and get the set of sequences of the autocorrelation coefficients, and then apply our extraction algorithm to the set to extract the period of the beat. The results of experiments on 62 polyphonic music show good performance of extraction of the period of beat. Our contribution to the content-analysis of music is to realize a method for the extraction of the period of beat in the compressed domain of TwinVQ audio compression and to make a base for music structure analysis based on the beat of the music.

Published in:

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on  (Volume:3 )

Date of Conference:

15-18 Dec. 2003