all InfoSec news
Time Domain Adversarial Voice Conversion for ADD 2022. (arXiv:2204.08692v1 [eess.AS])
April 20, 2022, 1:20 a.m. | Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li
cs.CR updates on arXiv.org arxiv.org
In this paper, we describe our speech generation system for the first Audio
Deep Synthesis Detection Challenge (ADD 2022). Firstly, we build an any-to-many
voice conversion (VC) system to convert source speech with arbitrary language
content into the target speaker%u2019s fake speech. Then the converted speech
generated from VC is post-processed in the time domain to improve the deception
ability. The experimental results show that our system has adversarial ability
against anti-spoofing detectors with a little compromise in audio quality …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Information Security Engineers
@ D. E. Shaw Research | New York City
Security Engineer, Incident Response
@ Databricks | Remote - Netherlands
Associate Vulnerability Engineer - Mid-Atlantic region (Part-Time)
@ GuidePoint Security LLC | Remote in VA, MD, PA, NC, DE, NJ, or DC
Data Security Architect
@ Accenture Federal Services | Washington, DC
Identity Security Administrator
@ SailPoint | Pune, India