PhD, advised by Prof. Jun Du. National Engineering Research Center of Speech and Language Information Processing (NERC-SLIP) University of Science and Technology of China (USTC) HeFei, AnHui, China Email: wangruoyu@mail.ustc.edu.cn [Github][Google Scholar]

Interests

• Speaker Diarization

• Multi-Array, Multi-Channel, Audio-visual Speech Signal Processing

• Low Resource, Far-field, Multi-talker Speech Recognition

Awards and Honors

• 1st of multi-channel & single-channel tracks in CHiME-8 NOTSOFAR, Aug. 2024.

• 1st of main & sub tracks in CHiME-7 DASR, Aug. 2023.

• 1st of DCASE2023 Task5: few-shot bioacoustic event detection challenge, June. 2023

• Outstanding intern of the year in iFlytek RDG Platform, Jan. 2022

• 1st of 15 constrained and 7 unconstrained tracks in low resource speech recognition challenge OpenASR21, Nov. 2021

• 2nd of synthetic speech detection challenge ASVspoof2021 LA task, Aug. 2021

Publications

• Ruoyu Wang, Shutong Niu, et al. “Incorporating Spatial Cues in Modular Speaker Diarization for Multi-channel Multi-party Meetings.” arXiv preprint arXiv:2409.16803 (2024).

• Shutong Niu, Ruoyu Wang, Jun Du, et al. “The ustc-nercslip systems for the chime-8 notsofar-1 challenge.” arXiv preprint arXiv:2409.02041 (2024).

• Chang Li*, Ruoyu Wang*, et al. “Quality-aware Masked Diffusion Transformer for Enhanced Music Generation.” arXiv preprint arXiv:2405.15863 (2024).

• Ruoyu Wang, Maokui He, Jun Du, et al. “The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge.” CHiME-7 Workshop, 2023.
  

• Ruoyu Wang, Jun Du, and Tian Gao. “Quantum Transfer Learning Using the Large-Scale Unsupervised Pre-Trained Model Wavlm-Large for Synthetic Speech Detection.” ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.
  

• Ruoyu Wang, Jun Du, and Chang Wang. “Multi-branch Network with Circle Loss Using Voice Conversion and Channel Robust Data Augmentation for Synthetic Speech Detection.” Chinese Conference on Biometric Recognition. Cham: Springer Nature Switzerland, 2022.
  

• Guolong Zhong, Hongyu Song, Ruoyu Wang, et al. “External Text Based Data Augmentation for Low-Resource Speech Recognition in the Constrained Condition of OpenASR21 Challenge.” Proc. Interspeech 2022 (2022): 4860-4864.
  

Education

• PhD in Information and Communication Engineering for Data Science, University of Science and Technology of China, Sept. 2021 - present

• B.S. in Mathematics, Department of Probability and Statistics, University of Science and Technology of China, Sept. 2017 - Jun. 2021

Experience

• Research intern at iFlytek, Dec. 2020 - present

• Teaching Assistant of Mathematical Analysis(B) at USTC, 2019 Fall - 2023 Spring