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ORCIDDi He 0004
Person information
- affiliation: Amazon Alexa, Seattle, WA, USA
- affiliation (PhD 2019): University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Lab, Urbana, IL, USA
- affiliation: Inspirit IoT, Inc., Champaign, IL, USA
Other persons with the same name
- Di He — disambiguation page
- Di He 0001 — Peking University, School of Intelligence Science and Technology, National Key Laboratory of General Artificial Intelligence, Beijing, China (and 2 more)
- Di He 0002
![[0000-0002-0719-8289]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0719-8289")
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Navigation and Location-Based Services, Shanghai, China (and 2 more) - Di He 0003 — City University of New York, Graduate Center, New York, NY, USA
- Di He 0005 — University of Science and Technology Beijing, Collaborative Innovation Center of Steel Technology, Beijing, China
- Di He 0006 — Beijing Information Science and Technology University, School of Science, Institute of Applied Mathematics, Beijing, China (and 1 more)
- Di He 0007 — Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Di He 0008 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin, China
- Di He 0009 — Vipshop Holdings Limited, Guangzhou, China
- Di He 0010 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
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Books and Theses
- 2019
[b1]Di He:
The benefits of acoustic perceptual information for speech processing systems. University of Illinois Urbana-Champaign, USA, 2019
Conference and Workshop Papers
- 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 - 2022
- [c7]Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas:
VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition. ICASSP 2022: 6977-6981 - 2021
- [c6]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
wav2vec-C: A Self-Supervised Model for Speech Representation Learning. Interspeech 2021: 711-715 - 2019
- [c5]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. ICASSP 2019: 5996-6000 - 2018
- [c4]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-resourced Languages through Multi-task Learning with Acoustic Landmarks. INTERSPEECH 2018: 2618-2622 - 2017
- [c3]Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen:
Machine learning on FPGAs to face the IoT revolution. ICCAD 2017: 819-826 - [c2]Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen:
Machine learning on FPGAs to face the IoT revolution. ICCAD 2017: 894-901 - [c1]Di He, Zuofu Cheng, Mark Hasegawa-Johnson, Deming Chen:
Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. INTERSPEECH 2017: 1914-1918
Informal and Other Publications
- 2024
- [i10]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) - [i9]Jinhan Wang, Long Chen, Aparna Khare, Anirudh Raju, Pranav Dheram, Di He, Minhua Wu, Andreas Stolcke, Venkatesh Ravichandran:
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion. CoRR abs/2401.14717 (2024) - 2023
- [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) - [i7]Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow:
Personalized Predictive ASR for Latency Reduction in Voice Assistants. CoRR abs/2305.13794 (2023) - 2022
- [i6]Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas:
VADOI: Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition. CoRR abs/2202.10593 (2022) - 2021
- [i5]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
Wav2vec-C: A Self-supervised Model for Speech Representation Learning. CoRR abs/2103.08393 (2021) - 2018
- [i4]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks. CoRR abs/1805.05574 (2018) - [i3]Di He:
Augmenting Input Method Language Model with user Location Type Information. CoRR abs/1809.08349 (2018) - [i2]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. CoRR abs/1811.02063 (2018) - 2017
- [i1]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Acoustic Landmarks Contain More Information About the Phone String than Other Frames. CoRR abs/1710.09985 (2017)
Coauthor Index
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