Julian Chan

According to our database, Julian Chan authored at least 13 papers between 2014 and 2021.

Collaborative distances:

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

2021

On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models.

Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer

CoRR, 2021

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR.

Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition.

Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Deep Shallow Fusion for RNN-T Personalization.

Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency.

Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

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

Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion.

Duc Le, Mahaveer Jain, Gil Keren, Suyoun Kim, Yangyang Shi, Jay Mahadeokar, Julian Chan, Yuan Shangguan, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Michael L. Seltzer

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

Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications.

Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao

Proceedings of the IEEE International Conference on Acoustics, 2021

Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2021

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models.

Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition.

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer

CoRR, 2020

2017

Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding.

Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer

CoRR, 2017

2014

Recognition of stance strength and polarity in spontaneous speech.

Gina-Anne Levow, Valerie Freeman, Alena Hrynkevich, Mari Ostendorf, Richard A. Wright, Julian Chan, Yi Luan, Trang Tran

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Manipulating stance and involvement using collaborative tasks: an exploratory comparison.

Valerie Freeman, Julian Chan, Gina-Anne Levow, Richard A. Wright, Mari Ostendorf, Victoria Zayats

Proceedings of the INTERSPEECH 2014, 2014