Difference between revisions of "2016:Singing Voice Separation Results"
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− | | Singing Voice Separation | + | | Singing Voice Separation Using Deep Neural Networks and F0 Estimation || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2016/RSGP1.pdf PDF] || Gerard Roma, Emad M. Grais, Andrew J. R. Simpson, Mark D. Plumbley |
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Revision as of 02:23, 1 August 2016
Contents
Introduction
Description
These are the results for the 2016 running of the Singing Voice Separation task set. For more information about this task set please refer to the 2016:Singing Voice Separation page.
Legend
Submission code | Submission name | Abstract PDF | Contributors |
---|---|---|---|
GD1 | Harmonic Modeling of Singing Voice for Source Separation | Georgi Dzhambazov | |
HC1 | MIREX 2016 Submission for Singing Voice Separation | Yi-Chun Huang, Tai-Shih Chi | |
LCP1 | Deep Clustering for Singing Voice Separation | Yi Luo, Zhuo Chen, John R. Hershey, Jonathan Le Roux, Daniel P. W. Ellis | |
LCP2 | Deep Clustering for Singing Voice Separation | Yi Luo, Zhuo Chen, John R. Hershey, Jonathan Le Roux, Daniel P. W. Ellis | |
MC2 | MIREX 2016 Submission for Singing Voice Separation | - | Marius Miron, Pritish Chandna |
MC3 | MIREX 2016 Submission for Singing Voice Separation | - | Marius Miron, Pritish Chandna |
RSGP1 | Singing Voice Separation Using Deep Neural Networks and F0 Estimation | Gerard Roma, Emad M. Grais, Andrew J. R. Simpson, Mark D. Plumbley |
Evaluation Criteria
GNSDR = Global Normalized Signal-to-Distortion Ratio
NSDR = Normalized Signal-to-Distortion Ratio
SIR = Signal-to-Interference Ratio
SAR = Signal-to-Artifacts Ratio
Summary
Summary Results
Algorithm | Voice GNSDR (dB) | Music GNSDR (dB) | Runtime (m) |
---|---|---|---|
GD1 | -2.2810 | 0.3954 | 26.4413 |
HC1 | 4.6309 | 7.8180 | 28.9727 |
LCP1 | 6.0726 | 10.9256 | 37.8235 |
LCP2 | 6.3414 | 11.1878 | 32.4800 |
MC2 | 5.2891 | 9.6678 | 34.8084 |
MC3 | 5.4920 | 9.8049 | 36.7194 |
RSGP1 | 3.2589 | 8.7664 | 32.3578 |
NSDR
For the Singing Voice (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | -2.281 | 3.534 | -11.740 | 6.623 | -1.935 |
HC1 | 4.631 | 2.903 | -1.127 | 14.260 | 3.883 |
LCP1 | 6.073 | 3.462 | -1.658 | 17.170 | 5.649 |
LCP2 | 6.341 | 3.370 | -1.958 | 17.240 | 5.997 |
MC2 | 5.289 | 2.914 | -1.302 | 12.571 | 4.945 |
MC3 | 5.492 | 2.881 | -0.453 | 12.448 | 5.195 |
RSGP1 | 3.259 | 3.617 | -14.027 | 12.045 | 3.304 |
For the Music Accompaniment (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | 0.395 | 1.470 | -2.260 | 5.825 | 0.211 |
HC1 | 7.818 | 2.647 | -1.258 | 15.861 | 8.046 |
LCP1 | 10.926 | 3.835 | 0.742 | 19.960 | 10.883 |
LCP2 | 11.188 | 3.626 | 2.508 | 19.875 | 11.087 |
MC2 | 9.668 | 3.676 | -7.875 | 22.734 | 9.926 |
MC3 | 9.805 | 3.944 | -7.679 | 22.453 | 10.099 |
RSGP1 | 8.766 | 3.828 | -6.905 | 18.065 | 8.966 |
Boxplots
SIR
For the Singing Voice (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | 6.562 | 9.778 | -30.324 | 24.205 | 9.043 |
HC1 | 9.762 | 10.006 | -28.081 | 23.070 | 12.713 |
LCP1 | 13.822 | 10.320 | -24.604 | 26.302 | 16.844 |
LCP2 | 14.518 | 10.163 | -23.923 | 26.606 | 17.467 |
MC2 | 10.471 | 10.189 | -29.559 | 28.854 | 12.621 |
MC3 | 10.844 | 10.314 | -28.896 | 29.313 | 13.346 |
RSGP1 | 16.240 | 10.743 | -26.850 | 33.092 | 18.471 |
For the Music Accompaniment (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | 1.984 | 9.805 | -11.864 | 37.146 | 0.840 |
HC1 | 8.978 | 9.299 | -2.271 | 42.987 | 7.576 |
LCP1 | 24.015 | 7.915 | 5.929 | 47.039 | 23.596 |
LCP2 | 25.170 | 7.220 | 11.146 | 48.129 | 24.578 |
MC2 | 19.811 | 6.984 | 2.837 | 42.629 | 19.143 |
MC3 | 19.609 | 7.091 | 2.366 | 43.881 | 18.602 |
RSGP1 | 17.737 | 6.484 | 4.017 | 42.258 | 16.593 |
Boxplots
SAR
For the Singing Voice (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | 2.394 | 4.562 | -12.304 | 9.967 | 3.465 |
HC1 | 10.768 | 7.287 | -19.592 | 20.876 | 12.282 |
LCP1 | 10.183 | 8.150 | -23.437 | 20.348 | 12.538 |
LCP2 | 10.137 | 8.305 | -22.992 | 20.063 | 12.235 |
MC2 | 11.243 | 7.441 | -18.240 | 20.293 | 12.813 |
MC3 | 11.248 | 7.498 | -15.216 | 20.749 | 12.811 |
RSGP1 | 6.627 | 7.140 | -24.741 | 14.289 | 8.313 |
For the Music Accompaniment (dB)
Algorithm | Mean | SD | Min | Max | Median |
---|---|---|---|---|---|
GD1 | 2.708 | 2.661 | -6.024 | 10.608 | 2.948 |
HC1 | 8.019 | 3.476 | -3.232 | 16.401 | 7.483 |
LCP1 | 7.168 | 3.732 | -2.080 | 17.939 | 7.087 |
LCP2 | 7.346 | 3.483 | -0.713 | 18.004 | 7.451 |
MC2 | 6.106 | 3.537 | -2.182 | 13.294 | 6.145 |
MC3 | 6.288 | 3.507 | -3.431 | 13.943 | 6.559 |
RSGP1 | 5.286 | 2.539 | -1.849 | 13.933 | 5.373 |
Boxplots
Runtime Data
Submission Code | Runtime (m) |
---|---|
GD1 | 26.4413 |
HC1 | 28.9727 |
LCP1 | 37.8235 |
LCP2 | 32.4800 |
MC2 | 34.8084 |
MC3 | 36.7194 |
RSGP1 | 32.3578 |