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CLC number: TP391.4
On-line Access: 2019-04-09
Received: 2022-04-22
Revision Accepted: 2022-04-22
Crosschecked: 0000-00-00
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Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem
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Yan-min Qian, Chao Weng, Xuan-kai Chang, Shuai Wang, Dong Yu. Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(3): 438-438.
@article{title="Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem",
author="Yan-min Qian, Chao Weng, Xuan-kai Chang, Shuai Wang, Dong Yu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="3",
pages="438-438",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.19e0001"
}
%0 Journal Article
%T Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem
%A Yan-min Qian
%A Chao Weng
%A Xuan-kai Chang
%A Shuai Wang
%A Dong Yu
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 3
%P 438-438
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.19e0001
TY - JOUR
T1 - Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem
A1 - Yan-min Qian
A1 - Chao Weng
A1 - Xuan-kai Chang
A1 - Shuai Wang
A1 - Dong Yu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 3
SP - 438
EP - 438
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.19e0001
Abstract:
Erratum to: Front. Inform. Technol. Electron. Eng., 2018 19(1):40-63. doi:10.1631/FITEE.1700814In the original version of this article, there is a mistake about the result of DPCL++ (Isik et al., 2016) in Section 5.6 (Fig. 7). As reported in Isik et al. (2016), the SDR improvement was 10.3 dB, rather than 9.4 dB. For further information, the best performance in Isik et al. (2016) was 10.8 dB with the help of a more complicated architecture.
[1]Isik Y, Le Roux J, Chen Z, et al., 2016. Single-channel multispeaker separation using deep clustering. Annual Conf of Int Speech Communication Association, p.545-549.
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