Huaizhen Tang

Huaizhen Tang

University of Science and Technology of China

Huaizhen Tang holding a Master’s degree and currently working as an Algorithm Engineer at Guangzhou Huya Technology Co., Ltd. He pursued his Master’s studies at the University of Science and Technology of China (USTC) and was selected for the joint cultivation laboratory program between PAT and USTC for the class of 2020. His primary research interests encompass speech conversion and the decoupling of speech content and speaker characteristics, including low-resource speech conversion.

Interests
  • Voice Conversion

Publications

  1. Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval (2024) In ICASSP2024 (CCF-B)
  2. PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion (2023) In MM2023 (CCF-A)
  3. Learning Speech Representations with Flexible Hidden Feature Dimensions (2023) In ICASSP2023 (CCF-B)
  4. VQ-CL: Learning Disentangled Speech Representations with Contrastive Learning and Vector Quantization (2023) In ICASSP2023 (CCF-B)
  5. Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion (2022) In INTERSPEECH2022 (CCF-C)
  6. AVQVC: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning (2022) In ICASSP2022 (CCF-B)
  7. TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training (2021) In ASRU2021

Events