Dung Tran

Dung Tran is a researcher in Microsoft’s Applied Sciences Group (ASG).  His research interests lie at the intersection of machine learning and signal processing, which he applies to sound and speech processing and to computer vision.

He holds a Ph.D. in electrical and computer engineering and an M.S. in applied mathematics and statistics, both from Johns Hopkins University.

In his free time he loves to play soccer.

• 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
• Single-Channel Speech Enhancement Using Learnable Loss Mixup

  Proceedings, Interspeech 2021 August, 2021 Pages 2696-2700

  By Oscar Chang, Dung Tran, Kazuhito Koishida
• Single-Channel Speech Enhancement by Subspace Affinity Minimization

  Proceedings, Interspeech 2020 October, 2020 Pages 2447-2451

  By Dung Tran, Kazuhito Koishida
• Robust Pitch Regression with Voiced/Unvoiced Classification in Nonstationary Noise Environments

  Proceedings, Interspeech 2020 October, 2020 Pages 175-179

  By Dung Tran, Uros Batricevic, Kazuhito Koishida