Content Gazette - June 2018 - 7

APRIL 2018

VOLUME 26

NUMBER 4

ITASFA

(ISSN 2329-9290)

REGULAR PAPERS

DNN-Based

Score

Calibration With Multitask Learning for Noise Robust Speaker Verification
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Tan, M.-W. Mak, and B. K.-W. Mak
Extracting Spectral Features Using Deep Autoencoders With Binary Distributed Hidden Units for Statistical Parametric
Speech Synthesis http://dx.doi.org/10.1109/TASLP.2018.2791804 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y.-J. Hu and Z.-H. Ling
A Hybrid Approach for Speaker Tracking Based on TDOA and Data-Driven Models http://dx.doi.org/10.1109/TASLP.2018.2790707 . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Laufer-Goldshtein, R. Talmon, and S. Gannot
Speaker Recognition Using e-Vectors http://dx.doi.org/10.1109/TASLP.2018.2791806 . . . . . . . . . . . . . . . . . . . . . . . . . S. Cumani and P. Laface
Generalizing I-Vector Estimation for Rapid Speaker Recognition http://dx.doi.org/10.1109/TASLP.2018.2793670 . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . L. Xu, K. A. Lee, H. Li, and Z. Yang
Frequency-Domain Design of Asymmetric Circular Differential Microphone Arrays http://dx.doi.org/10.1109/TASLP.2018.2796844 . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Buchris, I. Cohen, and J. Benesty
Active Noise Control Over Space: A Wave Domain Approach http://dx.doi.org/10.1109/TASLP.2018.2795756 . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Zhang, T. D. Abhayapala, W. Zhang, P. N. Samarasinghe, and S. Jiang
Speaker-Independent Speech Separation With Deep Attractor Network http://dx.doi.org/10.1109/TASLP.2018.2795749 . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Luo, Z. Chen, and N. Mesgarani
FMLLR Speaker Normalization With i-Vector: In Pseudo-FMLLR and Distillation Framework
http://dx.doi.org/10.1109/TASLP.2018.2795754 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. M. Joy, S. R. Kothinti, and S. Umesh
Bootstrap Averaging for Model-Based Source Separation in Reverberant Conditions http://dx.doi.org/10.1109/TASLP.2018.2797425 . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Chandna and W. Wang
Denoised Senone I-Vectors for Robust Speaker Verification http://dx.doi.org/10.1109/TASLP.2018.2796843 . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Tan, M.-W. Mak, B. K.-W. Mak, and Y. Zhu
http://dx.doi.org/10.1109/TASLP.2018.2791105

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Table of Contents for the Digital Edition of Content Gazette - June 2018
