Multiple Fundamental Frequency Estimation & Tracking
From MIREX Wiki
Description
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
| Year | Participating Algorithms | URL | ||
| Task1 | Task2 | Task3 | ||
| 2009 | 12 | 13 | 1 | https://www.music-ir.org/mirex/wiki/2009:Multiple_Fundamental_Frequency_Estimation_%26_Tracking_Results |
| 2008 | 15 | 13 | https://www.music-ir.org/mirex/wiki/2008:Multiple_Fundamental_Frequency_Estimation_%26_Tracking_Results | |
| 2007 | 16 | 11 | https://www.music-ir.org/mirex/wiki/2007:Multiple_Fundamental_Frequency_Estimation_%26_Tracking_Results | |
