  In this report, we discribe the submission of Tongji University undergraduate
team to the CLOSE track of the VoxCeleb Speaker Recognition Challenge (VoxSRC)
2020 at Interspeech 2020. We applied the RSBU-CW module to the ResNet34
framework to improve the denoising ability of the network and better complete
the speaker verification task in a complex environment.We trained two variants
of ResNet,used score fusion and data-augmentation methods to improve the
performance of the model. Our fusion of two selected systems for the CLOSE
track achieves 0.2973 DCF and 4.9700\% EER on the challenge evaluation set.
