Blind Bandwidth Extension with a Non-Linear Function and Its Evaluation on Automatic Speaker Verification-Reference-Cited by-同舟云学术

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Blind Bandwidth Extension with a Non-Linear Function and Its Evaluation on Automatic Speaker Verification

Published:2020-01-01 Issue:1 Volume:E103.D Page:42-49
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

KAMINISHI Ryota¹,MIYAMOTO Haruna¹,SHIOTA Sayaka¹,KIYA Hitoshi¹

Affiliation:

1. Tokyo Metropolitan University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E103.D/1/E103.D_2019MUP0008/_pdf

Reference32 articles.

1. [1] N. Dehak, P.J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-end factor analysis for speaker verification,” IEEE Trans. Audio, Speech, Language Process., vol.19, no.4, pp.788-798, 2011. 10.1109/tasl.2010.2064307

2. [2] F. Bahmaninezhad and J.H.L. Hansen, “i-vector/plda speaker recognition using support vectors with discriminant analysis,” Proc. ICASSP, pp.5410-5414, 2017. 10.1109/icassp.2017.7953190

3. [3] S.J.D. Prince and J.H. Elder, “Probabilistic linear discriminant analysis for inferences about identity,” IEEE 11th International Conference on Computer Vision, 2007, ICCV 2007, pp.1-8, 2007. 10.1109/iccv.2007.4409052

4. [4] D. Snyder, D. Garcia-Romero, A. McCree, G. Sell, D. Povey, and S. Khudanpur, “Spoken language recognition using x-vectors,” Odyssey: The Speaker and Language Recognition Workshop, Les Sables d'Olonne, pp.105-111, 2018. 10.21437/odyssey.2018-15

5. [5] S. Shon, H. Tang, and J. Glass, “Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model,” 2018 IEEE Spoken Language Technology Workshop (SLT), 2018. 10.1109/slt.2018.8639622

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