2015:Multiple Fundamental Frequency Estimation & Tracking Results - Su Dataset

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Revision as of 08:10, 20 October 2015 by Li Su (talk | contribs) (Run Times)

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 PDF Emmanouil Benetos, Tillman Weyde
BW2 NoteTracking1 PDF Emmanouil Benetos, Tillman Weyde
BW3 NoteTracking2 PDF Emmanouil Benetos, Tillman Weyde
CB1 Silvet1 PDF Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, and Dan Stowell
CB2 Silvet2 PDF Chris Cannam, Emmanouil Benetos, Matthias Mauch, Matthew E. P. Davies, Simon Dixon, Christian Landone, Katy Noland, and Dan Stowell
SY1 MPE1 PDF Li Su, Yi-Hsuan Yang
SY2 MPE2 PDF Li Su, Yi-Hsuan Yang
SY3 MPE3 PDF Li Su, Yi-Hsuan Yang
SY4 MPE4 PDF 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 first two letters of the filename represent the music type:

PQ = piano quintet, PS = piano solo, SQ = string quartet, VS = violin sonata (with piano accompaniment)

Run Times

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

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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

500px

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, 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