The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016

K. A. Lee; V. Hautamäki; T. Kinnunen; A. Larcher; C. Zhang; A. Nautsch; T. Stafylakis; G. Liu; M. Rouvier; W. Rao; F. Alegre; J. Ma; Man Wai Mak; A. K. Sarkar; H. Delgado; R. Saeidi; H. Aronowitz; A. Sizov; H. Sun; T. H. Nguyen; G. Wang; B. Ma; V. Vestman; M. Sahidullah; M. Halonen; A. Kanervisto; G. Le Lan; F. Bahmaninezhad; S. Isadskiy; C. Rathgeb; C. Busch; G. Tzimiropoulos; Q. Qian; Z. Wang; Q. Zhao; T. Wang; H. Li; J. Xue; S. Zhu; R. Jin; T. Zhao; P. M. Bousquet; M. Ajili; W. B. Kheder; D. Matrouf; Z. H. Lim; C. Xu; H. Xu; X. Xiao; E. S. Chng; B. Fauve; K. Sriskandaraja; V. Sethu; W. W. Lin; D. A.L. Thomsen; Z. H. Tan; M. Todisco; N. Evans; H. Li; J. H.L. Hansen; J. F. Bonastre; E. Ambikairajah

doi:10.21437/Interspeech.2017-203

The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016

K. A. Lee, V. Hautamäki, T. Kinnunen, A. Larcher, C. Zhang, A. Nautsch, T. Stafylakis, G. Liu, M. Rouvier, W. Rao, F. Alegre, J. Ma, Man Wai Mak, A. K. Sarkar, H. Delgado, R. Saeidi, H. Aronowitz, A. Sizov, H. Sun, T. H. NguyenG. Wang, B. Ma, V. Vestman, M. Sahidullah, M. Halonen, A. Kanervisto, G. Le Lan, F. Bahmaninezhad, S. Isadskiy, C. Rathgeb, C. Busch, G. Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, P. M. Bousquet, M. Ajili, W. B. Kheder, D. Matrouf, Z. H. Lim, C. Xu, H. Xu, X. Xiao, E. S. Chng, B. Fauve, K. Sriskandaraja, V. Sethu, W. W. Lin, D. A.L. Thomsen, Z. H. Tan, M. Todisco, N. Evans, H. Li, J. H.L. Hansen, J. F. Bonastre, E. Ambikairajah

Research output: Journal article publication › Conference article › Academic research › peer-review

13 Citations (Scopus)

Abstract

The 2016 speaker recognition evaluation (SRE'16) is the latest edition in the series of benchmarking events conducted by the National Institute of Standards and Technology (NIST). I4U is a joint entry to SRE'16 as the result from the collaboration and active exchange of information among researchers from sixteen Institutes and Universities across 4 continents. The joint submission and several of its 32 sub-systems were among top-performing systems. A lot of efforts have been devoted to two major challenges, namely, unlabeled training data and dataset shift from Switchboard-Mixer to the new Call My Net dataset. This paper summarizes the lessons learned, presents our shared view from the sixteen research groups on recent advances, major paradigm shift, and common tool chain used in speaker recognition as we have witnessed in SRE'16. More importantly, we look into the intriguing question of fusing a large ensemble of sub-systems and the potential benefit of large-scale collaboration.

Original language	English
Pages (from-to)	1328-1332
Number of pages	5
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	2017-August
DOIs	https://doi.org/10.21437/Interspeech.2017-203
Publication status	Published - 1 Jan 2017
Event	18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017 - Stockholm, Sweden Duration: 20 Aug 2017 → 24 Aug 2017

Keywords

Benchmark
Call My Net
Fusion
Speaker recognition evaluation

ASJC Scopus subject areas

Language and Linguistics
Human-Computer Interaction
Signal Processing
Software
Modelling and Simulation

More information

10.21437/Interspeech.2017-203

Cite this

Lee, K. A., Hautamäki, V., Kinnunen, T., Larcher, A., Zhang, C., Nautsch, A., Stafylakis, T., Liu, G., Rouvier, M., Rao, W., Alegre, F., Ma, J., Mak, M. W., Sarkar, A. K., Delgado, H., Saeidi, R., Aronowitz, H., Sizov, A., Sun, H., ... Ambikairajah, E. (2017). The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2017-August, 1328-1332. https://doi.org/10.21437/Interspeech.2017-203

@article{152e699d6f724defbc8317747f4c0668,

title = "The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016",

abstract = "The 2016 speaker recognition evaluation (SRE'16) is the latest edition in the series of benchmarking events conducted by the National Institute of Standards and Technology (NIST). I4U is a joint entry to SRE'16 as the result from the collaboration and active exchange of information among researchers from sixteen Institutes and Universities across 4 continents. The joint submission and several of its 32 sub-systems were among top-performing systems. A lot of efforts have been devoted to two major challenges, namely, unlabeled training data and dataset shift from Switchboard-Mixer to the new Call My Net dataset. This paper summarizes the lessons learned, presents our shared view from the sixteen research groups on recent advances, major paradigm shift, and common tool chain used in speaker recognition as we have witnessed in SRE'16. More importantly, we look into the intriguing question of fusing a large ensemble of sub-systems and the potential benefit of large-scale collaboration.",

keywords = "Benchmark, Call My Net, Fusion, Speaker recognition evaluation",

author = "Lee, {K. A.} and V. Hautam{\"a}ki and T. Kinnunen and A. Larcher and C. Zhang and A. Nautsch and T. Stafylakis and G. Liu and M. Rouvier and W. Rao and F. Alegre and J. Ma and Mak, {Man Wai} and Sarkar, {A. K.} and H. Delgado and R. Saeidi and H. Aronowitz and A. Sizov and H. Sun and Nguyen, {T. H.} and G. Wang and B. Ma and V. Vestman and M. Sahidullah and M. Halonen and A. Kanervisto and {Le Lan}, G. and F. Bahmaninezhad and S. Isadskiy and C. Rathgeb and C. Busch and G. Tzimiropoulos and Q. Qian and Z. Wang and Q. Zhao and T. Wang and H. Li and J. Xue and S. Zhu and R. Jin and T. Zhao and Bousquet, {P. M.} and M. Ajili and Kheder, {W. B.} and D. Matrouf and Lim, {Z. H.} and C. Xu and H. Xu and X. Xiao and Chng, {E. S.} and B. Fauve and K. Sriskandaraja and V. Sethu and Lin, {W. W.} and Thomsen, {D. A.L.} and Tan, {Z. H.} and M. Todisco and N. Evans and H. Li and Hansen, {J. H.L.} and Bonastre, {J. F.} and E. Ambikairajah",

year = "2017",

month = jan,

day = "1",

doi = "10.21437/Interspeech.2017-203",

language = "English",

volume = "2017-August",

pages = "1328--1332",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

note = "18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017 ; Conference date: 20-08-2017 Through 24-08-2017",

}

Lee, KA, Hautamäki, V, Kinnunen, T, Larcher, A, Zhang, C, Nautsch, A, Stafylakis, T, Liu, G, Rouvier, M, Rao, W, Alegre, F, Ma, J, Mak, MW, Sarkar, AK, Delgado, H, Saeidi, R, Aronowitz, H, Sizov, A, Sun, H, Nguyen, TH, Wang, G, Ma, B, Vestman, V, Sahidullah, M, Halonen, M, Kanervisto, A, Le Lan, G, Bahmaninezhad, F, Isadskiy, S, Rathgeb, C, Busch, C, Tzimiropoulos, G, Qian, Q, Wang, Z, Zhao, Q, Wang, T, Li, H, Xue, J, Zhu, S, Jin, R, Zhao, T, Bousquet, PM, Ajili, M, Kheder, WB, Matrouf, D, Lim, ZH, Xu, C, Xu, H, Xiao, X, Chng, ES, Fauve, B, Sriskandaraja, K, Sethu, V, Lin, WW, Thomsen, DAL, Tan, ZH, Todisco, M, Evans, N, Li, H, Hansen, JHL, Bonastre, JF & Ambikairajah, E 2017, 'The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016', Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, vol. 2017-August, pp. 1328-1332. https://doi.org/10.21437/Interspeech.2017-203

The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016. / Lee, K. A.; Hautamäki, V.; Kinnunen, T. et al.

In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Vol. 2017-August, 01.01.2017, p. 1328-1332.

Research output: Journal article publication › Conference article › Academic research › peer-review

TY - JOUR

T1 - The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016

AU - Lee, K. A.

AU - Hautamäki, V.

AU - Kinnunen, T.

AU - Larcher, A.

AU - Zhang, C.

AU - Nautsch, A.

AU - Stafylakis, T.

AU - Liu, G.

AU - Rouvier, M.

AU - Rao, W.

AU - Alegre, F.

AU - Ma, J.

AU - Mak, Man Wai

AU - Sarkar, A. K.

AU - Delgado, H.

AU - Saeidi, R.

AU - Aronowitz, H.

AU - Sizov, A.

AU - Sun, H.

AU - Nguyen, T. H.

AU - Wang, G.

AU - Ma, B.

AU - Vestman, V.

AU - Sahidullah, M.

AU - Halonen, M.

AU - Kanervisto, A.

AU - Le Lan, G.

AU - Bahmaninezhad, F.

AU - Isadskiy, S.

AU - Rathgeb, C.

AU - Busch, C.

AU - Tzimiropoulos, G.

AU - Qian, Q.

AU - Wang, Z.

AU - Zhao, Q.

AU - Wang, T.

AU - Li, H.

AU - Xue, J.

AU - Zhu, S.

AU - Jin, R.

AU - Zhao, T.

AU - Bousquet, P. M.

AU - Ajili, M.

AU - Kheder, W. B.

AU - Matrouf, D.

AU - Lim, Z. H.

AU - Xu, C.

AU - Xu, H.

AU - Xiao, X.

AU - Chng, E. S.

AU - Fauve, B.

AU - Sriskandaraja, K.

AU - Sethu, V.

AU - Lin, W. W.

AU - Thomsen, D. A.L.

AU - Tan, Z. H.

AU - Todisco, M.

AU - Evans, N.

AU - Li, H.

AU - Hansen, J. H.L.

AU - Bonastre, J. F.

AU - Ambikairajah, E.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The 2016 speaker recognition evaluation (SRE'16) is the latest edition in the series of benchmarking events conducted by the National Institute of Standards and Technology (NIST). I4U is a joint entry to SRE'16 as the result from the collaboration and active exchange of information among researchers from sixteen Institutes and Universities across 4 continents. The joint submission and several of its 32 sub-systems were among top-performing systems. A lot of efforts have been devoted to two major challenges, namely, unlabeled training data and dataset shift from Switchboard-Mixer to the new Call My Net dataset. This paper summarizes the lessons learned, presents our shared view from the sixteen research groups on recent advances, major paradigm shift, and common tool chain used in speaker recognition as we have witnessed in SRE'16. More importantly, we look into the intriguing question of fusing a large ensemble of sub-systems and the potential benefit of large-scale collaboration.

AB - The 2016 speaker recognition evaluation (SRE'16) is the latest edition in the series of benchmarking events conducted by the National Institute of Standards and Technology (NIST). I4U is a joint entry to SRE'16 as the result from the collaboration and active exchange of information among researchers from sixteen Institutes and Universities across 4 continents. The joint submission and several of its 32 sub-systems were among top-performing systems. A lot of efforts have been devoted to two major challenges, namely, unlabeled training data and dataset shift from Switchboard-Mixer to the new Call My Net dataset. This paper summarizes the lessons learned, presents our shared view from the sixteen research groups on recent advances, major paradigm shift, and common tool chain used in speaker recognition as we have witnessed in SRE'16. More importantly, we look into the intriguing question of fusing a large ensemble of sub-systems and the potential benefit of large-scale collaboration.

KW - Benchmark

KW - Call My Net

KW - Fusion

KW - Speaker recognition evaluation

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U2 - 10.21437/Interspeech.2017-203

DO - 10.21437/Interspeech.2017-203

M3 - Conference article

VL - 2017-August

SP - 1328

EP - 1332

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

SN - 2308-457X

T2 - 18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017

Y2 - 20 August 2017 through 24 August 2017

ER -

The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016

Abstract

Keywords

ASJC Scopus subject areas

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