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V2S attack: building DNN-based voice conversion from automatic speaker
  verification

V2S attack: building DNN-based voice conversion from automatic speaker verification

Speech Synthesis Workshop (SSW), 2019
5 August 2019
Taiki Nakamura
Yuki Saito
Shinnosuke Takamichi
Yusuke Ijima
Hiroshi Saruwatari
ArXiv (abs)PDFHTML

Papers citing "V2S attack: building DNN-based voice conversion from automatic speaker verification"

6 / 6 papers shown
Evaluating Synthetic Command Attacks on Smart Voice Assistants
Evaluating Synthetic Command Attacks on Smart Voice Assistants
Zhengxian He
Ashish Kundu
M. Ahamad
ELMAAML
261
0
0
13 Nov 2024
Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model
Spoofing Attacker Also Benefits from Self-Supervised Pretrained ModelInterspeech (Interspeech), 2023
Aoi Ito
Shota Horiguchi
SSL
146
4
0
24 May 2023
A Tandem Framework Balancing Privacy and Security for Voice User
  Interfaces
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces
Ranya Aloufi
Hamed Haddadi
David E. Boyle
182
3
0
21 Jul 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech
  Recognition Systems
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsACM Transactions on Privacy and Security (ACM TOPS), 2021
Yuxuan Chen
Jiangshan Zhang
Xuejing Yuan
Shengzhi Zhang
Kai Chen
Luyi Xing
Shanqing Guo
AAML
281
20
0
19 Mar 2021
Optimizing voice conversion network with cycle consistency loss of
  speaker identity
Optimizing voice conversion network with cycle consistency loss of speaker identitySpoken Language Technology Workshop (SLT), 2020
Hongqiang Du
Xiaohai Tian
Lei Xie
Haizhou Li
162
20
0
17 Nov 2020
The Attacker's Perspective on Automatic Speaker Verification: An
  Overview
The Attacker's Perspective on Automatic Speaker Verification: An OverviewInterspeech (Interspeech), 2020
Rohan Kumar Das
Xiaohai Tian
Tomi Kinnunen
Haizhou Li
AAML
154
87
0
19 Apr 2020
1
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