By Topic

Multiresolution time-frequency analysis of polyphonic music

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
$33 $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

3 Author(s)
R. Keren ; Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel ; Y. Y. Zeevi ; D. Chazan

Automatic transcription of polyphonic music is one of the difficult problems in the field of signal processing and analysis. One of the main reasons is that there exists no single scale of time-frequency representation, which is suitable for the detection of the wide range of features present in the musical sounds. The multiresolution Fourier transform (MFT) approach has been investigated, in order to overcome this problem by providing several time-frequency representations using a range of scales. This representation enables more flexibility in the analysis of polyphonic audio signals which requires a good feature separation. Transcription algorithms designed to work on MFT coefficients are shown to have a great potential and good transcription results are achieved for more complicated music performances, than currently possible by other techniques

Published in:

Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on

Date of Conference:

6-9 Oct 1998