Pitch detection algorithms find use in many different applications ranging from automatic music transcription, music classification and analysis to sound separation. Most recently, music games and karaoke applications have also incorporated pitch detection algorithms in their gameplay. Music and audio games pose different technical requirements in terms of the implementation and efficiency of such algorithms. In this paper, we describe the development of a server based pitch detection algorithm intended to work in web applications. Real time performance, algorithm robustness and efficiency were critical aspects of this work.

Authors: Grollmisch, Sascha; Dittmar, Christian; Cano Cerón, Estefanía; Dressler, Karin
Affiliation: Fraunhofer Institute for Digital Media Technology IDMT, Ilmenau, Germany
AES Conference: 41st International Conference: Audio for Games (February 2011)
Paper Number: 2-2
Publication Date: February 2, 2011
Subject: Music, Synthesis, and Speech Processing

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.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

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.