Di He

According to our database, Di He authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion.

Jinhan Wang, Long Chen, Aparna Khare, Anirudh Raju, Pranav Dheram, Di He, Minhua Wu, Andreas Stolcke, Venkatesh Ravichandran

CoRR, 2024

2023

Personalized Predictive ASR for Latency Reduction in Voice Assistants.

Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow

CoRR, 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

VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition.

Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

wav2vec-C: A Self-Supervised Model for Speech Representation Learning.

Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2019

The benefits of acoustic perceptual information for speech processing systems

Di He

PhD thesis, 2019

When CTC Training Meets Acoustic Landmarks.

Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Augmenting Input Method Language Model with user Location Type Information.

Di He

CoRR, 2018

Improved ASR for Under-resourced Languages through Multi-task Learning with Acoustic Landmarks.

Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen

Proceedings of the Interspeech 2018, 2018

2017

Acoustic Landmarks Contain More Information About the Phone String than Other Frames.

Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen

CoRR, 2017

Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED.

Di He, Zuofu Cheng, Mark Hasegawa-Johnson, Deming Chen

Proceedings of the Interspeech 2017, 2017

Machine learning on FPGAs to face the IoT revolution.

Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017