On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors

May 15, 2020
Achintya Kumar Sarkar, Zheng-Hua Tan


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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

Apr 20, 2020
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo

* TIP 2020. Code available at https://github.com/dongliangchang/OSLNet 

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Vocoder-Based Speech Synthesis from Silent Videos

Apr 06, 2020
Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen


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Adversarial Example Detection by Classification for Deep Speech Recognition

Oct 22, 2019
Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan


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On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

Sep 03, 2019
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen


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Keyword Spotting for Hearing Assistive Devices Robust to External Speakers

Jun 26, 2019
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen


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rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method

Jun 09, 2019
Zheng-Hua Tan, Achintya kr. Sarkar, Najim Dehak

* Computer Speech & Language, 2019 
* Paper is to appear in CSL 

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Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

May 29, 2019
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen


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Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification

May 11, 2019
Achintya kr. Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon, James Glass

* IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019 
* Copyright (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Subjective Annotations for Vision-Based Attention Level Estimation

Dec 12, 2018
Andrea Coifman, Péter Rohoska, Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan

* 14th International Conference on Computer Vision Theory and Applications (VISAPP) 

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Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems

Nov 15, 2018
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen


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On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement

Nov 15, 2018
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen


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The Importance of Context When Recommending TV Content: Dataset and Algorithms

Jul 30, 2018
Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan


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A Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules

Apr 18, 2018
Ioannis T. Christou, Emmanouil Amolochitis, Zheng-Hua Tan

* 14 pages, 2 figures 

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Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification

Nov 27, 2017
Achintya Kr. Sarkar, Zheng-Hua Tan


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Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Sep 07, 2017
Daniel Michelsanti, Zheng-Hua Tan

* INTERSPEECH 2017 August 20-24, 2017, Stockholm, Sweden 

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Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

Jul 11, 2017
Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen


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Incorporating Pass-Phrase Dependent Background Models for Text-Dependent Speaker Verification

Jun 12, 2017
A. K. Sarkar, Zheng-Hua Tan


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Decorrelation of Neutral Vector Variables: Theory and Applications

May 30, 2017
Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo


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DNN Filter Bank Cepstral Coefficients for Spoofing Detection

Feb 13, 2017
Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo


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Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation

Jan 03, 2017
Dong Yu, Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen

* 5 pages 

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