Concatenative Resynthesis with Improved Training Signals for Speech Enhancement. - Ali Raza Syed; Viet Anh Trinh; Michael I. Mandel (INTERSPEECH, 2018)

Bubble Cooperative Networks for Identifying Important Speech Cues. - Viet Anh Trinh; Brian McFee; Michael I. Mandel (INTERSPEECH, 2018)

Large Scale Evaluation of Importance Maps in Automatic Speech Recognition. - Viet Anh Trinh; Michael I. Mandel (INTERSPEECH, 2020)

Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. - Félix Grèzes; Zhaoheng Ni; Viet Anh Trinh; Michael I. Mandel (CoRR, 2020)

Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks. - Zhaoheng Ni; Félix Grèzes; Viet Anh Trinh; Michael I. Mandel (CoRR, 2020)

Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement. - Félix Grèzes; Zhaoheng Ni; Viet Anh Trinh; Michael I. Mandel (CoRR, 2020)

New Dataset and Strong Baselines for the Grammatical Error Correction of Russian. - Viet Anh Trinh; Alla Rozovskaya (ACL/IJCNLP (Findings), 2021)

Directly Comparing the Listening Strategies of Humans and Machines. - Viet Anh Trinh; Michael I. Mandel (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Unsupervised Speech Enhancement with Speech Recognition Embedding and Disentanglement Losses. - Viet Anh Trinh; Sebastian Braun (ICASSP, 2022)

Importantaug: A Data Augmentation Agent for Speech. - Viet Anh Trinh; Hassan Salami Kavaki; Michael I. Mandel (ICASSP, 2022)

Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation. - Viet Anh Trinh; Pegah Ghahremani; Brian John King; Jasha Droppo; Andreas Stolcke; Roland Maas (INTERSPEECH, 2022)

Identifying, Evaluating and Applying Importance Maps for Speech. - Viet Anh Trinh (2022)

Two-Pass Endpoint Detection for Speech Recognition. - Anirudh Raju; Aparna Khare; Di He 004; Ilya Sklyar; Long Chen; Sam Alptekin; Viet Anh Trinh; Zhe Zhang; Colin Vaz; Venkatesh Ravichandran; Roland Maas; Ariya Rastrow (ASRU, 2023)

Towards Accurate and Real-Time End-of-Speech Estimation. - Yifeng Fan; Colin Vaz; Di He 004; Jahn Heymann; Viet Anh Trinh; Zhe Zhang; Venkatesh Ravichandran (ICASSP, 2023)

Adaptive Endpointing with Deep Contextual Multi-Armed Bandits. - Do June Min; Andreas Stolcke; Anirudh Raju; Colin Vaz; Di He 004; Venkatesh Ravichandran; Viet Anh Trinh (ICASSP, 2023)

Tracking Classroom Movement Patterns with Person Re-ID. - Xinlu He; Jiani Wang; Viet Anh Trinh; Andrew A. McReynolds; Jacob Whitehill (EDM, 2024)

Automatic Speech Recognition Tuned for Child Speech in the Classroom. - Rosy Southwell; Wayne H. Ward; Viet Anh Trinh; Charis Clevenger; Clay Clevenger; Emily Watts; Jason G. Reitman; Sidney D'Mello; Jacob Whitehill (ICASSP, 2024)

Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing. - Viet Anh Trinh; Rosy Southwell; Yiwen Guan; Xinlu He; Zhiyong Wang; Jacob Whitehill (CoRR, 2024)

Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? - Yiwen Guan; Viet Anh Trinh; Vivek Voleti; Jacob Whitehill (CoRR, 2024)

Improving Named Entity Transcription with Contextual LLM-based Revision. - Viet Anh Trinh; Xinlu He; Jacob Whitehill (CoRR, 2025)

MLLM-based Speech Recognition: When and How is Multimodality Beneficial? - Yiwen Guan; Viet Anh Trinh; Vivek Voleti; Jacob Whitehill (CoRR, 2025)