Difference between revisions of "2015:Multiple Fundamental Frequency Estimation & Tracking Results - Su Dataset"
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===Individual Results Files for Task 1=== | ===Individual Results Files for Task 1=== | ||
'''BW1'''= [https://music-ir.org/mirex/results/2015/mf0/est/BW1.results.tar Emmanouil Benetos, Tillman Weyde]<br /> | '''BW1'''= [https://music-ir.org/mirex/results/2015/mf0/est/BW1.results.tar Emmanouil Benetos, Tillman Weyde]<br /> | ||
− | '''CB1'''= [https://music-ir.org/mirex/results/2015/mf0/est/EF1.results.tar | + | '''CB1'''= [https://music-ir.org/mirex/results/2015/mf0/est/EF1.results.tar Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, Dan Stowell]<br /> |
− | '''CB2'''= [https://music-ir.org/mirex/results/2015/mf0/est/KD2.results.tar | + | '''CB2'''= [https://music-ir.org/mirex/results/2015/mf0/est/KD2.results.tar Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, Dan Stowell]<br /> |
− | '''SY1'''= [https://music-ir.org/mirex/results/2015/mf0/est/RM1.results.tar | + | '''SY1'''= [https://music-ir.org/mirex/results/2015/mf0/est/RM1.results.tar Li Su, Yi-Hsuan Yang]<br /> |
'''SY2'''= [https://music-ir.org/mirex/results/2015/mf0/est/SY1.results.tar Li Su, Yi-Hsuan Yang]<br /> | '''SY2'''= [https://music-ir.org/mirex/results/2015/mf0/est/SY1.results.tar Li Su, Yi-Hsuan Yang]<br /> | ||
'''SY3'''= [https://music-ir.org/mirex/results/2015/mf0/est/SY2.results.tar Li Su, Yi-Hsuan Yang]<br /> | '''SY3'''= [https://music-ir.org/mirex/results/2015/mf0/est/SY2.results.tar Li Su, Yi-Hsuan Yang]<br /> |
Revision as of 07:17, 20 October 2015
Contents
Introduction
In this year we propose a newly annotated polyphonic dataset. This dataset contains a wider range of real-world music in comparison to the old dataset used from 2009. Specifically, the new dataset contains 3 clips of piano solo, 3 clips of string quartet, 2 clips of piano quintet, and 2 clips of violin sonata (violin with piano accompaniment), all of which are selected from real-world recordings. The length of each clip is between 20 and 30 seconds. The dataset is annotated by the method described in the following paper:
Li Su and Yi-Hsuan Yang, "Escaping from the Abyss of Manual Annotation: New Methodology of Building Polyphonic Datasets for Automatic Music Transcription," in Int. Symp. Computer Music Multidisciplinary Research (CMMR), June 2015.
As also mentioned in the paper, we tried our best to calibrate the errors (mostly the mismatch between onset and offset time stamps) in the preliminary annotation by human labor. Since there are still potential errors of annotation that we didn’t find, we decide to make the data and the annotation publicly available after the announcement of MIREX result this year. Specifically, we encourage every participant to help us check the annotation. The result of each competing algorithm will be updated based on the revised annotation. We hope that this can let the participants get more detailed information about the behaviors of the algorithm performing on the dataset. Moreover, in this way we can join our efforts to create a better dataset for the research on multiple-F0 estimation and tracking.
General Legend
Sub code | Submission name | Abstract | Contributors |
---|---|---|---|
BW1 | doMultiF0 | Emmanouil Benetos, Tillman Weyde | |
BW2 | NoteTracking1 | Emmanouil Benetos, Tillman Weyde | |
BW3 | NoteTracking2 | Emmanouil Benetos, Tillman Weyde | |
CB1 | Silvet1 | Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, and Dan Stowell | |
CB2 | Silvet2 | Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, and Dan Stowell | |
SY1 | MPE1 | Li Su, Yi-Hsuan Yang | |
SY2 | MPE2 | Li Su, Yi-Hsuan Yang | |
SY3 | MPE3 | Li Su, Yi-Hsuan Yang | |
SY4 | MPE4 | Li Su, Yi-Hsuan Yang |
Task 1: Multiple Fundamental Frequency Estimation (MF0E)
MF0E Overall Summary Results
file /nema-raid/www/mirex/results/2015/mf0/est/summary/task1.overall.csv not found
Detailed Results
file /nema-raid/www/mirex/results/2015/mf0/est/summary/task1.results.csv not found
Detailed Chroma Results
Here, accuracy is assessed on chroma results (i.e. all F0's are mapped to a single octave before evaluating)
file /nema-raid/www/mirex/results/2015/mf0/est/summary/task1.chroma.results.csv not found
Individual Results Files for Task 1
BW1= Emmanouil Benetos, Tillman Weyde
CB1= Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, Dan Stowell
CB2= Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, Dan Stowell
SY1= Li Su, Yi-Hsuan Yang
SY2= Li Su, Yi-Hsuan Yang
SY3= Li Su, Yi-Hsuan Yang
SY4= Li Su, Yi-Hsuan Yang
Info about the filenames
The filenames starting with part* comes from acoustic woodwind recording, the ones starting with RWC are synthesized. The legend about the instruments are:
bs = bassoon, cl = clarinet, fl = flute, hn = horn, ob = oboe, vl = violin, cel = cello, gtr = guitar, sax = saxophone, bass = electric bass guitar
Run Times
file /nema-raid/www/mirex/results/2014/mf0/est/runtimes_mf0_2015.csv not found
Friedman tests for Multiple Fundamental Frequency Estimation (MF0E)
The Friedman test was run in MATLAB to test significant differences amongst systems with regard to the performance (accuracy) on individual files.
Tukey-Kramer HSD Multi-Comparison
file /nema-raid/www/mirex/results/2015/mf0/est/summary/Accuracy_Per_Song_Friedman_Mean_Rankstask1.friedman.Friedman_TukeyKramerHSD.csv not found
Task 2:Note Tracking (NT)
NT Mixed Set Overall Summary Results
This subtask is evaluated in two different ways. In the first setup , a returned note is assumed correct if its onset is within +-50ms of a ref note and its F0 is within +- quarter tone of the corresponding reference note, ignoring the returned offset values. In the second setup, on top of the above requirements, a correct returned note is required to have an offset value within 20% of the ref notes duration around the ref note`s offset, or within 50ms whichever is larger.
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/task2.overall.results.csv not found
Detailed Results
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/task2.results.csv not found
Detailed Chroma Results
Here, accuracy is assessed on chroma results (i.e. all F0's are mapped to a single octave before evaluating)
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/task2.chroma.results.csv not found
Results Based on Onset Only
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/task2.onsetOnly.results.csv not found
Chroma Results Based on Onset Only
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/task2.onsetOnly.chroma.results.csv not found
Run Times
file /nema-raid/www/mirex/results/2015/mf0/nt/runtimes_NT_2014.csv not found
Friedman Tests for Note Tracking
The Friedman test was run in MATLAB to test significant differences amongst systems with regard to the F-measure on individual files.
Tukey-Kramer HSD Multi-Comparison for Task2
file /nema-raid/www/mirex/results/2015/mf0/nt/summary/Accuracy_Per_Song_Friedman_Mean_Rankstask2.onsetOnly.friedman.Friedman_TukeyKramerHSD.csv not found
NT Piano-Only Overall Summary Results
This subtask is evaluated in two different ways. In the first setup , a returned note is assumed correct if its onset is within +-50ms of a ref note and its F0 is within +- quarter tone of the corresponding reference note, ignoring the returned offset values. In the second setup, on top of the above requirements, a correct returned note is required to have an offset value within 20% of the ref notes duration around the ref note`s offset, or within 50ms whichever is larger. 6 piano recordings are evaluated separately for this subtask.
file /nema-raid/www/mirex/results/2015/mf0/nt/summary_piano_subtask/task2_piano.overall.results.csv not found
Detailed Results
file /nema-raid/www/mirex/results/2015/mf0/nt/summary_piano_subtask/task2_piano.results.csv not found
Detailed Chroma Results
Here, accuracy is assessed on chroma results (i.e. all F0's are mapped to a single octave before evaluating)
file /nema-raid/www/mirex/results/2015/mf0/nt/summary_piano_subtask/task2_piano.chroma.results.csv not found
Results Based on Onset Only
file /nema-raid/www/mirex/results/2015/mf0/nt/summary_piano_subtask/task2_piano.onsetOnly.results.csv not found
Chroma Results Based on Onset Only
file /nema-raid/www/mirex/results/2015/mf0/nt/summary_piano_subtask/task2_piano.onsetOnly.chroma.results.csv not found
Individual Results Files for Task 2
BW2= Emmanouil Benetos, Tillman Weyde
BW3= Emmanouil Benetos, Tillman Weyde
CB1= Chris Cannam, Emmanouil Benetos
CD3= Andrea Cogliati, Zhiyao Duan
DT1= Zhiyao Duan, David Temperley
DT2= Zhiyao Duan, David Temperley
DT3= Zhiyao Duan, David Temperley
EF1= Anders Elowsson, Anders Friberg
KD2= Karin Dressler
RM1= Daniel Recoskie, Richard Mann
SB5= Sebastian Böck
SY4= Li Su, Yi-Hsuan Yang