Detecting synthetic speech using long term magnitude and phase information

• Main Authors: Tian, Xiaohai, Du, Steven, Xiao, Xiong, Xu, Haihua, Chng, Eng Siong, Li, Haizhou
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Spoofing Attack; Voice Conversion; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/89638; http://hdl.handle.net/10220/47055
• Institution: Nanyang Technological University

Synthetic speech is speech signals generated by text-to-speech (TTS) and voice conversion (VC) techniques. They impose a threat to speaker verification (SV) systems as an attacker may make use of TTS or VC to synthesize a speakers voice to cheat the SV system. To address this challenge, we study the...