The extraction of pitch (or fundamental frequency) information from polyphonic audio signals remains a challenging problem. The specific case of detecting the pitch of a melodic instrument playing in a percussive background is presented. Time-domain pitch detection algorithms based on a temporal autocorrelation model, including the Meddis-Hewitt algorithm, are considered. The temporal and spectral characteristics of percussive interference degrade the performance of the pitch detection algorithms to various extents. From an experimental study of the pitch estimation errors obtained on a set of synthetic musical signals, the effectiveness of the auditory-perception-based modules of the Meddis-Hewitt pitch detection algorithm in improving the robustness of fundamental frequency tracking in the presence of percussive interference is discussed.
Authors:
Rao, Preeti; Shandilya, Saurabh
Affiliation:
Indian Institute of Technology, Bombay, India
JAES Volume 52 Issue 4 pp. 378-390; April 2004
Publication Date:
April 15, 2004
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.