Viet Anh Trinh

According to our database, Viet Anh Trinh authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Endpointing with Deep Contextual Multi-Armed Bandits.

Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Accurate and Real-Time End-of-Speech Estimation.

Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran

Proceedings of the IEEE International Conference on Acoustics, 2023

Two-Pass Endpoint Detection for Speech Recognition.

Anirudh Raju, Aparna Khare, Di He, Ilya Sklyar, Long Chen, Sam Alptekin, Viet Anh Trinh, Zhe Zhang, Colin Vaz, Venkatesh Ravichandran, Roland Maas, Ariya Rastrow

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Identifying, Evaluating and Applying Importance Maps for Speech.

Viet Anh Trinh

PhD thesis, 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

Proceedings of the Interspeech 2022, 2022

Importantaug: A Data Augmentation Agent for Speech.

Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Speech Enhancement with Speech Recognition Embedding and Disentanglement Losses.

Viet Anh Trinh, Sebastian Braun

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Directly Comparing the Listening Strategies of Humans and Machines.

Viet Anh Trinh, Michael I. Mandel

IEEE ACM Trans. Audio Speech Lang. Process., 2021

New Dataset and Strong Baselines for the Grammatical Error Correction of Russian.

Viet Anh Trinh, Alla Rozovskaya

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement.

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

Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks.

Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel

CoRR, 2020

Large Scale Evaluation of Importance Maps in Automatic Speech Recognition.

Viet Anh Trinh, Michael I. Mandel

Proceedings of the Interspeech 2020, 2020

2018

Bubble Cooperative Networks for Identifying Important Speech Cues.

Viet Anh Trinh, Brian McFee, Michael I. Mandel

Proceedings of the Interspeech 2018, 2018

Concatenative Resynthesis with Improved Training Signals for Speech Enhancement.

Ali Raza Syed, Viet Anh Trinh, Michael I. Mandel

Proceedings of the Interspeech 2018, 2018