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This paper presents our MSXF TTS system for Task 3.1 of the Audio DeepSynthesis Detection (ADD) Challenge 2022. We use an end to end text to speechsystem, and add a constraint loss to the system when training stage. The end toend TTS system is VITS, and the pre-training self-supervised model is wav2vec2.0. And we also explore the influence of the speech speed and volume inspoofing. The faster speech means the less the silence part in audio, theeasier to fool the detector. We also find the smaller the volume, the betterspoofing ability, though we normalize volume for submission. Our team isidentified as C2, and we got the fourth place in the challenge.

The MSXF TTS System for ICASSP 2022 ADD Challenge