View source for Multiple Fundamental Frequency Estimation & Tracking

== 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 ==
                                                
{| border="1"  cellpadding="5" cellspacing="0"
|-  style="background: yellow"
|  rowspan="2" | '''Year'''
| colspan="3" | '''Participating Algorithms ''' 
|  rowspan="2" | '''URL'''
|-  style="background: yellow"
| '''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
|}