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Towards robust audio spoofing detection: a detailed comparison of
  traditional and learned features

Towards robust audio spoofing detection: a detailed comparison of traditional and learned features

28 May 2019
B. Balamurali
Kin Wah Edward Lin
Simon Lui
Jer-Ming Chen
Dorien Herremans
    AAML
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Papers citing "Towards robust audio spoofing detection: a detailed comparison of traditional and learned features"

4 / 4 papers shown
Title
Singing Voice Separation Using a Deep Convolutional Neural Network
  Trained by Ideal Binary Mask and Cross Entropy
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy
Kin Wah Edward Lin
T. BalamuraliB.
Enyan Koh
Simon Lui
Dorien Herremans
24
40
0
04 Dec 2018
A Study on Replay Attack and Anti-Spoofing for Automatic Speaker
  Verification
A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification
Lantian Li
Yixiang Chen
Dong Wang
Tianshi Zheng
39
52
0
07 Jun 2017
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation
UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation
Chunlei Zhang
F. Bahmaninezhad
Shivesh Ranjan
Chengzhu Yu
Navid Shokouhi
John H. L. Hansen
26
27
0
24 Oct 2016
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder
Xi Zhang
Yanwei Fu
Shanshan Jiang
Leonid Sigal
G. Agam
DiffM
37
23
0
17 Sep 2015
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