2014:Singing Voice Separation Results

Introduction

Description

These are the results for the 2014 running of the Singing Voice Separation task set. For more information about this task set please refer to the 2014:Singing Voice Separation page.

Legend

Submission code	Submission name	Abstract PDF	Contributors
GW1	Bayesian Singing-Voice Separation	PDF	Guan-Xiang Wang, Po-Kai Yang, Chung-Chien Hsu, Jen-Tzung Chien
HKHS1	Singing-Voice Separation using Deep Recurrent Neural Networks	PDF	Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
HKHS2	Singing-Voice Separation using Deep Recurrent Neural Networks	PDF	Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
HKHS3	Singing-Voice Separation using Deep Recurrent Neural Networks	PDF	Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
IIY1	Singing Voice Separation and Vocal F0 Estimation based on Robust PCA and Subharmonic Summation	PDF	Yukara Ikemiya, Katsutoshi Itoyama, Kazuyoshi Yoshii
IIY2	Singing Voice Separation and Vocal F0 Estimation based on Robust PCA and Subharmonic Summation	PDF	Yukara Ikemiya, Katsutoshi Itoyama, Kazuyoshi Yoshii
JL1	Singing Voice Separation Based on Sparse Nature and Spectral/Temporal Discontinuity	PDF	Il-Young Jeong, Kyogu Lee
LFR1	Kernel Additive Modelling with light models	-	Antoine Liutkus, Derry Fitzgerald, Zafar Rafii
RNA1	Singing Voice Separation using Adaptive Window Harmonic Sinusoidal Modeling	PDF	Preeti Rao, Nagesh Nayak, Sharath Adavanne
RP1	REPET-SIM for Singing Voice Separation	PDF	Zafar Rafii, Bryan Pardo
YC1	MIREX 2014 Submission for Singing Voice Separation	PDF	Frederick Yen, Tai-Shih Chi

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 (hh)
GW1	2.8861	5.2549	24
HKHS1	-1.3988	0.3483	06
HKHS2	-1.9413	0.5239	06
HKHS3	-2.4807	0.1414	06
IIY1	4.2190	7.7893	02
IIY2	4.4764	7.8661	02
JL1	4.1564	5.6304	01
LFR1	0.6499	3.0867	03
RNA1	3.6915	7.3153	06
RP1	2.8602	5.0306	01
YC1	-0.8202	-3.1150	13

NSDR

For the Singing Voice (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	2.8861	3.4543	-7.1344	12.819	2.5745
HKHS1	-1.3988	3.0574	-9.4234	4.292	-1.2971
HKHS2	-1.9413	3.2899	-11.309	7.2794	-1.4234
HKHS3	-2.4807	3.8173	-12.272	9.7879	-1.5772
IIY1	4.219	3.2378	-3.4536	15.517	4.4345
IIY2	4.4764	3.0584	-2.3763	16.212	4.2927
JL1	4.1564	3.9819	-3.9431	15.822	3.7558
LFR1	0.64992	3.7455	-9.6199	7.4555	0.97393
RNA1	3.6915	3.4319	-1.8064	14.38	3.4024
RP1	2.8602	2.7926	-3.771	12.105	2.4553
YC1	-0.82015	3.4857	-8.7424	7.9435	-0.42864

download these results as csv

For the Music Accompaniment (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	5.2549	4.0553	-0.792	16.155	5.0222
HKHS1	0.34825	2.207	-5.7359	6.1051	0.33855
HKHS2	0.52394	2.5029	-6.1304	6.0994	0.90947
HKHS3	0.14144	2.3196	-6.3693	5.8651	0.55883
IIY1	7.7893	3.0938	-4.0068	13.949	8.1274
IIY2	7.8661	3.5329	-2.4807	15.082	8.7023
JL1	5.6304	4.0732	-0.91101	17.648	5.5284
LFR1	3.0867	2.6421	-6.9241	10.887	2.9156
RNA1	7.3153	2.9143	-5.9455	13.753	7.5214
RP1	5.0306	3.004	-0.99542	15.424	4.9872
YC1	-3.115	3.6797	-12.229	3.5503	-2.9997

download these results as csv

Boxplots

SIR

For the Singing Voice (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	6.9844	9.43	-26.961	18.215	8.8768
HKHS1	6.7499	10.673	-30.345	23.034	7.058
HKHS2	8.3009	11.705	-32.287	29.393	7.8647
HKHS3	7.7489	12.137	-30.839	28.544	8.9649
IIY1	15.472	11.954	-28.445	32.446	18.307
IIY2	13.267	11.466	-30.369	30.901	16.314
JL1	9.6169	9.6173	-24.122	24.341	11.755
LFR1	10.454	10.442	-26.952	23.638	13.042
RNA1	16.323	10.951	-24.713	34.263	18.799
RP1	7.2958	9.7631	-28.981	20.303	9.7841
YC1	10.873	10.809	-28.646	27.301	12.837

download these results as csv

For the Music Accompaniment (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	6.96	13.076	-12.643	42.653	4.3054
HKHS1	1.4953	10.084	-13.232	38.909	-1.4525
HKHS2	2.4162	10.465	-9.9978	34.081	-0.51852
HKHS3	0.90212	9.7862	-11.02	34.345	-0.66779
IIY1	12.44	8.1972	-0.61968	41.502	11.163
IIY2	14.301	8.3307	0.49447	41.767	13.809
JL1	5.6509	10.636	-13.16	39.5	4.3978
LFR1	4.4493	10.109	-11.445	41.717	2.0394
RNA1	12.938	8.5096	-1.3967	40.34	11.979
RP1	5.5158	10.417	-11.092	44.235	4.6256
YC1	0.90846	8.4936	-12.296	32.53	-0.63057

download these results as csv

Boxplots

SAR

For the Singing Voice (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	10.398	6.6431	-13.219	19.227	11.757
HKHS1	4.4392	5.1179	-16.316	17.676	5.1547
HKHS2	3.6845	6.1018	-23.638	15.233	4.4692
HKHS3	3.6391	5.615	-14.303	15.068	3.2243
IIY1	7.7078	7.4547	-25.591	16.613	9.6827
IIY2	8.5817	7.2202	-24.222	17.066	10.487
JL1	10.026	7.5205	-16.962	21.028	11.47
LFR1	4.729	5.6625	-23.426	12.721	5.5804
RNA1	6.662	7.3118	-25.659	15.083	8.9188
RP1	9.8241	6.5477	-13.189	24.156	11.033
YC1	2.9058	5.0893	-21.403	8.872	4.0133

download these results as csv

For the Music Accompaniment (dB)

Algorithm	Mean	SD	Min	Max	Median
GW1	8.7701	3.3088	-2.6918	16.204	8.6529
HKHS1	4.4585	4.2757	-12.382	16.774	4.7823
HKHS2	4.2321	4.22	-8.0849	14.269	4.5204
HKHS3	5.3476	4.6397	-12.255	14.438	5.794
IIY1	5.4262	3.1853	-2.678	15.981	5.2362
IIY2	5.0379	3.325	-3.1753	16.62	5.0873
JL1	9.6038	3.7963	-3.8019	17.577	10.158
LFR1	4.8871	3.4349	-12.787	10.789	5.0422
RNA1	4.7221	3.4545	-1.6892	15.052	4.9501
RP1	7.6957	3.3901	-7.2754	14.854	7.9782
YC1	-1.9525	2.8357	-12.203	6.2045	-2.3271

download these results as csv

Boxplots

Individual Spectrograms

As the MIREX test set is private, we use three other songs with similar characteristics to demonstrate the algorithms.

Spectrograms for GW1	Spectrograms for HKHS1	Spectrograms for HKHS2	Spectrograms for HKHS3
Spectrograms for IIY1	Spectrograms for IIY2	Spectrograms for JL1	Spectrograms for LFR1
Spectrograms for RNA1	Spectrograms for RP1	Spectrograms for YC1

Labels

a = input mixture x, b = ground truth voice for x, c = extracted voice from x,
d = input mixture y, e = ground truth voice for y, f = extracted voice from y,
g = input mixture z, h = ground truth voice for z, i = extracted voice from z

Runtime Data

Submission Code	Runtime (hh)
GW1	24
HKHS1	06
HKHS2	06
HKHS3	06
IIY1	02
IIY2	02
JL1	01
LFR1	03
RNA1	06
RP1	01
YC1	13

download these results as csv