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Viet Anh Trinh
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2020 – today
- 2024
- [c12]Xinlu He, Jiani Wang, Viet Anh Trinh, Andrew A. McReynolds, Jacob Whitehill:
Tracking Classroom Movement Patterns with Person Re-ID. EDM 2024 - [c11]Rosy Southwell, Wayne H. Ward, Viet Anh Trinh, Charis Clevenger, Clay Clevenger, Emily Watts, Jason G. Reitman, Sidney D'Mello, Jacob Whitehill:
Automatic Speech Recognition Tuned for Child Speech in the Classroom. ICASSP 2024: 12291-12295 - [i11]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:
Two-pass Endpoint Detection for Speech Recognition. CoRR abs/2401.08916 (2024) - [i10]Viet Anh Trinh, Rosy Southwell, Yiwen Guan, Xinlu He, Zhiyong Wang, Jacob Whitehill:
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing. CoRR abs/2406.06582 (2024) - [i9]Yiwen Guan, Viet Anh Trinh, Vivek Voleti, Jacob Whitehill:
Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? CoRR abs/2409.09221 (2024) - 2023
- [c10]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:
Two-Pass Endpoint Detection for Speech Recognition. ASRU 2023: 1-8 - [c9]Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran:
Towards Accurate and Real-Time End-of-Speech Estimation. ICASSP 2023: 1-5 - [c8]Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh:
Adaptive Endpointing with Deep Contextual Multi-Armed Bandits. ICASSP 2023: 1-5 - [i8]Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh:
Adaptive Endpointing with Deep Contextual Multi-armed Bandits. CoRR abs/2303.13407 (2023) - 2022
- [b1]Viet Anh Trinh:
Identifying, Evaluating and Applying Importance Maps for Speech. City University of New York, USA, 2022 - [c7]Viet Anh Trinh, Sebastian Braun:
Unsupervised Speech Enhancement with Speech Recognition Embedding and Disentanglement Losses. ICASSP 2022: 391-395 - [c6]Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel:
Importantaug: A Data Augmentation Agent for Speech. ICASSP 2022: 8592-8596 - [c5]Viet Anh Trinh, Pegah Ghahremani, Brian John King, Jasha Droppo, Andreas Stolcke, Roland Maas:
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation. INTERSPEECH 2022: 1298-1302 - [i7]Viet Anh Trinh, Pegah Ghahremani, Brian John King, Jasha Droppo, Andreas Stolcke, Roland Maas:
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation. CoRR abs/2207.07850 (2022) - 2021
- [j1]Viet Anh Trinh, Michael I. Mandel:
Directly Comparing the Listening Strategies of Humans and Machines. IEEE ACM Trans. Audio Speech Lang. Process. 29: 312-323 (2021) - [c4]Viet Anh Trinh, Alla Rozovskaya:
New Dataset and Strong Baselines for the Grammatical Error Correction of Russian. ACL/IJCNLP (Findings) 2021: 4103-4111 - [i6]Viet Anh Trinh, Sebastian Braun:
Unsupervised Speech Enhancement with speech recognition embedding and disentanglement losses. CoRR abs/2111.08678 (2021) - [i5]Viet Anh Trinh, Hassan Salami Kavaki, Michael I. Mandel:
ImportantAug: a data augmentation agent for speech. CoRR abs/2112.07156 (2021) - 2020
- [c3]Viet Anh Trinh, Michael I. Mandel:
Large Scale Evaluation of Importance Maps in Automatic Speech Recognition. INTERSPEECH 2020: 1166-1170 - [i4]Viet Anh Trinh, Michael I. Mandel:
Large scale evaluation of importance maps in automatic speech recognition. CoRR abs/2005.10929 (2020) - [i3]Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. CoRR abs/2012.01576 (2020) - [i2]Zhaoheng Ni, Félix Grèzes, Viet Anh Trinh, Michael I. Mandel:
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks. CoRR abs/2012.02191 (2020) - [i1]Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement. CoRR abs/2012.03388 (2020)
2010 – 2019
- 2018
- [c2]Ali Raza Syed, Viet Anh Trinh, Michael I. Mandel:
Concatenative Resynthesis with Improved Training Signals for Speech Enhancement. INTERSPEECH 2018: 1195-1199 - [c1]Viet Anh Trinh, Brian McFee, Michael I. Mandel:
Bubble Cooperative Networks for Identifying Important Speech Cues. INTERSPEECH 2018: 1616-1620
Coauthor Index
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last updated on 2024-10-31 21:09 CET by the dblp team
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