  This paper presents our MSXF TTS system for Task 3.1 of the Audio Deep
Synthesis Detection (ADD) Challenge 2022. We use an end to end text to speech
system, and add a constraint loss to the system when training stage. The end to
end TTS system is VITS, and the pre-training self-supervised model is wav2vec
2.0. And we also explore the influence of the speech speed and volume in
spoofing. The faster speech means the less the silence part in audio, the
easier to fool the detector. We also find the smaller the volume, the better
spoofing ability, though we normalize volume for submission. Our team is
identified as C2, and we got the fourth place in the challenge.
