  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 and
speaker similarity. This system ranks top in Track 3.1 in the ADD 2022, showing
that our method could also gain good generalization ability against different
detectors.
