Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Chinese folk musical instruments recognition in 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
$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)
Jun Yu ; Inst. of Comput. Sci. & Technol., Peking Univ., Beijing ; Xiaoou Chen ; Deshun Yang

This paper presents a study on automatic recognition of Chinese folk musical instruments, two methods are used to mainly deal with the task of dominant instrument identification in music of accompanied concertos, respectively song-level method and segment-level one; when dealing with 14 instruments of 4 Chinese folk instrument families, the accuracy of two methods are 85% and 89% respectively. Furthermore, the latter method is adapted to deal with another more difficult task of instruments identification in Chinese ensemble music, which asking to recognise as many instruments as possible. In addition, the effects of different music features are compared when used to do the identification, finding only MFCC feature which used commonly in speech processing is not enough and other features must be added to enhance the recognition.

Published in:

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Date of Conference:

7-9 July 2008