Trung Dang

Trung Dang is a research engineer in Microsoft’s Applied Sciences Group (ASG).  He is working on research and development of speech processing systems.  His previous works focus on speech models, privacy in federated learning, and self-supervised learning in computer vision.

He received his B.E. in computer science from Kyoto University, Japan, in 2019, and his M.S. in computer science from Boston University in 2022.

Trung was born and raised in the beautiful city of Hanoi, Vietnam.

In his spare time, he loves travelling, discovering nature, reading fiction, and playing sports.

• ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

  Proceedings, Interspeech 2024 September, 2024

  By Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, Somayeh Sojoudi
• LiveSpeech: Low-Latency Zero-Shot Text-to-Speech via Autoregressive Modeling of Audio Discrete Codes

  Proceedings, Interspeech 2024 September, 2024

  By Trung Dang, David Aponte, Dung Tran, Kazuhito Koishida
• uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures

  Proceedings. ICASSP 2024 April, 2024 Pages 5435-5439

  By Afrina Tabassum, Dung Tran, Trung Dang, Ismini Lourentzou, Kazuhito Koishida
• Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features

  Proceedings, ICASSP 2022 May, 2022 Pages 6557-6561

  By Trung Dang, Dung Tran, Peter Chin, Kazuhito Koishida