Multiple Fundamental Frequency Estimation & Tracking
That a complex music signal can be represented by the F0 contours of its constituent sources is a very useful concept for most music information retrieval systems. There have been many attempts at multiple (aka polyphonic) F0 estimation and melody extraction, a related area. The goal of multiple F0 estimation and tracking is to identify the active F0s in each time frame and to track notes and timbres continuously in a complex music signal. In this task, we would like to evaluate state-of-the-art multiple-F0 estimation and tracking algorithms. Since F0 tracking of all sources in a complex audio mixture can be very hard, we are restricting the problem to 3 cases:
- Estimate active fundamental frequencies on a frame-by-frame basis.
- Track note contours on a continuous time basis. (as in audio-to-midi). This task will also include a piano transcription sub task.
- Track timbre on a continuous time basis.
Participation in previous years