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ORCIDTrung Dang 0002
Person information
- affiliation: Boston University, Department of Computer Science, MA, USA
Other persons with the same name
- Trung Dang — disambiguation page
- Trung Dang 0001
![[0009-0002-9914-5009]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0002-9914-5009")
— Purdue University, West Lafayette, IN, USA
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2020 – today
- 2026
[i10]Trung Dang, Sharath Rao, Ananya Gupta, Christopher Gagne, Panagiotis Tzirakis, Alice Baird, Jakub Piotr Clapa, Sang (Peter) Chin, Alan Cowen:
TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment. CoRR abs/2602.23068 (2026)- 2024
- [c7]Afrina Tabassum, Dung N. Tran, Trung Dang, Ismini Lourentzou, Kazuhito Koishida:
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures. ICASSP 2024: 5435-5439 - [c6]Trung Dang, David Aponte, Dung N. Tran, Kazuhito Koishida:
LiveSpeech: Low-Latency Zero-shot Text-to-Speech via Autoregressive Modeling of Audio Discrete Codes. INTERSPEECH 2024 - [c5]Yatong Bai, Trung Dang, Dung N. Tran, Kazuhito Koishida, Somayeh Sojoudi:
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation. INTERSPEECH 2024 - [d1]Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, Somayeh Sojoudi:
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation. Zenodo, 2024
- [i9]Afrina Tabassum, Dung N. Tran, Trung Dang, Ismini Lourentzou, Kazuhito Koishida:
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures. CoRR abs/2403.09579 (2024) - [i8]Trung Dang, David Aponte, Dung N. Tran, Kazuhito Koishida:
LiveSpeech: Low-Latency Zero-shot Text-to-Speech via Autoregressive Modeling of Audio Discrete Codes. CoRR abs/2406.02897 (2024) - [i7]Trung Dang, David Aponte, Dung N. Tran, Tianyi Chen, Kazuhito Koishida:
Zero-Shot Text-to-Speech from Continuous Text Streams. CoRR abs/2410.00767 (2024) - 2023
- [i6]Yatong Bai, Trung Dang, Dung N. Tran, Kazuhito Koishida, Somayeh Sojoudi:
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation. CoRR abs/2309.10740 (2023) - 2022
- [c4]Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi:
A Study on Self-Supervised Object Detection Pretraining. ECCV Workshops (4) 2022: 86-99 - [c3]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP 2022: 4338-4342 - [c2]Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida:
Training Robust Zero-Shot Voice Conversion Models with Self-Supervised Features. ICASSP 2022: 6557-6561 - [i5]Trung Dang, Simon Kornblith, Huy Thong Nguyen, Peter Chin, Maryam Khademi:
A Study on Self-Supervised Object Detection Pretraining. CoRR abs/2207.04186 (2022) - [i4]Chau Pham, Trung Dang, Peter Chin:
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks. CoRR abs/2209.14264 (2022) - 2021
- [c1]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. NeurIPS 2021: 1727-1738 - [i3]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. CoRR abs/2104.07815 (2021) - [i2]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. CoRR abs/2111.00556 (2021) - [i1]Trung Dang, Dung N. Tran, Peter Chin, Kazuhito Koishida:
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features. CoRR abs/2112.04424 (2021)
Coauthor Index
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