Historique: Professionally produced music recordings
Aperçu de cette version: 3
Professionally produced music recordings
Introduction
According to many positive requests from the community, we decided to repeat this task.
The task includes the following data:
- Test and development data (test1 and dev1) of professionally produced music recordings task of first community-based Signal Separation Evaluation Campaign (SiSEC 2008).
- Test and development data (test2 and dev2) of SiSEC 2010
Test Data
Download [http://www.irisa.fr/metiss/SiSEC10/professional/test1.zip (7 MB) (Test data of SiSEC2008 )
Download test2.zip (9 MB) (Test data of SiSEC 2010)
Download test2_full_mix.zip (79 MB) (full-length recordings for SiSEC2010 data)
The data consist of stereo WAV audio files, that can be imported in Matlab using the wavread command. These files are named {test1,test2}__[<author>]-[<song>]___[<snip>]__{mix,full_mix}.wav , where <author> is the author name, <song> is the song name, and <snip> is a shortcut for snip information.
The data include the following mixtures (snips and full-length recordings):
test1
- test1__tamy-que_pena_tanto_faz__snip__mix.wav
- test1__bearlin-roads__snip__mix.wav
- test2__glen_philips-the_spirit_of_shackleton__snip_163_185__mix.wav
- test2__nine_inch_nails-the_good_soldier__snip_104_125__mix.wav
- test2__shannon_hurley-sunrise__snip_62_85__mix.wav
- test2__glen_philips-the_spirit_of_shackleton__full_mix.wav
- test2__nine_inch_nails-the_good_soldier__full_mix.wav
- test2__shannon_hurley-sunrise__full_mix.wav
Development Data
Download dev1.zip (22 MB) (Development data of SiSEC 2008)
Download dev2.zip (36 MB) (Development data of SiSEC 2010)
Download dev2_full_mix.zip (75 MB) (full-length recordings for SiSEC2010 data)
The data consist of stereo WAV audio files, that can be imported in Matlab using the wavread command. These files are named {dev1,dev2}__ [ <author> ] - [ <song> ]__[ <snip> ]__ {mix,full_mix,<track>}.wav, where <author> is the author name, <song> is the song name, <snip> is a shortcut for snip information, and <track> is the separated track name (e.g., "vocals", "bass", etc.).
The data include the following mixtures (snips and full-length recordings):
dev1
- dev1__bearlin-roads__snip_85_99__mix.wav
- dev1__tamy-que_pena_tanto_faz__snip_6_19__mix.wav
- dev2__another_dreamer-the_ones_we_love__snip_69_94__mix.wav
- dev2__fort_minor-remember_the_name__snip_54_78__mix.wav
- dev2__ultimate_nz_tour__snip_43_61__mix.wav
- dev2__another_dreamer-the_ones_we_love__full_mix.wav
- dev2__fort_minor-remember_the_name__full_mix.wav
- dev2__ultimate_nz_tour__full_mix.wav
Separated tracks files (needed for evaluation in dev1 and dev2) are in the corresponding folders named {dev1,dev2}__[<author>]-[<song>]__tracks .
License
All audio files are distributed under the terms different licenses, as listed below for each recodring:
- Tamy - Que Pena Tanto Faz: Creative Commons Attribution Noncommercial (3.0)
- Bearlin - Roads: Read License
- Glen Philips - The Spirit of Shackleton Creative Commons Attribution 3.0
- Nine Inch Nails - The Good Soldier Read License
- Shannon Hurley - Sunrise Creative Commons Attribution-NonCommercial 3.0
- Another Dreamer - The Ones We Love Creative Commons Attribution-NonCommercial 1.0
- Fort Minor - Remember the Name Creative Commons Attribution-NonCommercial 2.5
- Ultimate NZ Tour Creative Commons Attribution-Noncommercial-ShareAlike 3.0
All the former test and development data (test1 and dev1) are from MTG MASS database by M Nxx yy.
All the remixes of newly proposed data (dev2 and test2) are done by Michel Desnoues from Telecom ParisTech .
Tasks
The following should be taken in to account:
- Note that only 20 seconds snips are asked to be separated, and not full-length recordings.
- Some track names below have the following meaning:
- "vocals" = "a sum of any singing including main vocal, back vocals and singing in the reverb"
- "drums" = "a sum of any drums including bass drum, hi-hat, snare etc."
- "bass" = "bass guitar only (i.e., not bass drum)"
Test Tasks
test1__tamy-que_pena_tanto_faz__snip__mix.wav
Extract the following stereo tracks:
- vocals
- guitar
test1__bearlin-roads__snip__mix.wav
Extract the following stereo tracks:
- vocals
- bass
- piano
test2__glen_philips-the_spirit_of_shackleton__snip_163_185__mix.wav
Extract the following stereo tracks:
- vocals
- drums
- bass
test2__nine_inch_nails-the_good_soldier__snip_104_125__mix.wav
Extract the following stereo tracks:
- vocals
- drums
test2__shannon_hurley-sunrise__snip_62_85__mix.wav
Extract the following stereo tracks:
- vocals
- drums
- bass
- piano
Development Tasks
dev2__another_dreamer-the_ones_we_love__snip_69_94__mix.wav
Extract the following stereo tracks:
- vocals
- drums
- guitar
dev2__fort_minor-remember_the_name__snip_54_78__mix.wav
Extract the following stereo tracks:
- vocals
- drums
- bass
- claps
dev2__ultimate_nz_tour__snip_43_61__mix.wav
Extract the following stereo tracks:
- vocals
- drums
- bass
Submission
Participants may submit separation results for any above-mentioned tracks of any above (test and development) mixtures.
In addition, each participant is asked to provide basic information about his/her algorithm (e.g. a bibliographical reference) and to declare its average running time, expressed in seconds per test excerpt and per GHz of CPU.
Note that only 20 seconds snips are asked to be separated, and not full-length recordings.
How to submit the separation results will be announced before the end of July, 2011.
The submitted audio files will be made available on a website under the terms of the same license as indicated in the section Licenses above. In other words, any modified version inherit exactly the same license as the original.
Evaluation criteria
The same basic evaluation criteria as for the under-determined speech and music mixtures dataset will be used first so that results are comparable. More precisely, the estimated stereo source signals will be evaluated via the criteria used for the Stereo Audio Source Separation Evaluation Campaign, except that the order of the sources is fixed. These criteria distinguish spatial (or filtering) distortion, interference and artifacts.
- Associated matlab code: bss_eval_images_nosort.m
Additional evaluation will be provided through the perceptual evaluation toolkit PEASS.
Potential participants
- M Nxx yy
- Vasileios Pantazis
- Alexey Ozerov (alexey.ozerov (a) irisa_fr)
- Jeanlouis Durrieu (durrieu (a) enst_fr)
- Maximo Cobos (mcobos (a) iteam_upv_es)
- Pablo Cancela (pcancela (a) gmail.com)
- Antoine Liutkus (antoine.liutkus (a) telecom-paristech.fr)
- Pierre Leveau (pierre.leveau (a) audionamix.com)
- Jordi Janer (jordi.janer (a) upf.edu)
- Nobutaka Ono (onono (a) nii.ac.jp)