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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.