By Topic

Comparing features for forming music streams in automatic music transcription

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

3 Author(s)
Sakuraba, Y. ; Graduate Sch. of Informatics, Kyoto Univ., Japan ; Kitahara, T. ; Okuno, H.G.

In formating temporal sequences of notes played by the same instrument (referred to as music streams), timbre of musical instruments may be a predominant feature. In polyphonic music, the performance of timbre extraction based on power-related features deteriorates, because such features are blurred when two or more frequency components are superimposed in the same frequency. To cope with this problem, we integrated timbre similarity and direction proximity with success, but left using other features as future work. In this paper, we investigate four features. timbre similarity, direction proximity, pitch transition and pitch relation consistency to clarify the precedence among them in music stream formation. Experimental results with quartet music show that direction proximity is the most dominant feature, and pitch transition is the secondary. In addition, the performance of music stream formation was improved from 63.3% by only timbre similarity to 84.9% by integrating four features.

Published in:

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on  (Volume:4 )

Date of Conference:

17-21 May 2004