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Jeremy H. M. Wong
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2020 – today
- 2024
- [c17]Fabian Ritter Gutierrez, Kuan-Po Huang, Dianwen Ng, Jeremy H. M. Wong, Hung-Yi Lee, Eng Siong Chng, Nancy F. Chen:
Noise Robust Distillation of Self-Supervised Speech Models via Correlation Metrics. ICASSP Workshops 2024: 495-499 - [c16]Jeremy H. M. Wong, Nancy F. Chen:
Distilling Distributional Uncertainty from a Gaussian Process. ICASSP 2024: 9956-9960 - [i8]Fabian Ritter Gutierrez, Kuan-Po Huang, Jeremy H. M. Wong, Dianwen Ng, Hung-yi Lee, Nancy F. Chen, Eng Siong Chng:
Dataset-Distillation Generative Model for Speech Emotion Recognition. CoRR abs/2406.02963 (2024) - [i7]Huayun Zhang, Jeremy H. M. Wong, Geyu Lin, Nancy F. Chen:
Semi-supervised Learning For Robust Speech Evaluation. CoRR abs/2409.14666 (2024) - 2023
- [j3]Jeremy Heng Meng Wong
, Huayun Zhang
Modelling Inter-Rater Uncertainty in Spoken Language Assessment. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2886-2898 (2023) - [c15]Jeremy Heng Meng Wong, Huayun Zhang, Nancy F. Chen
Variational Gaussian Process Data Uncertainty. ASRU 2023: 1-8 - [c14]Jeremy H. M. Wong, Huayun Zhang, Nancy F. Chen
Distilling knowledge from Gaussian process teacher to neural network student. INTERSPEECH 2023: 426-430 - [i6]Jeremy Heng Meng Wong, Huayun Zhang, Nancy F. Chen
Multiple output samples for each input in a single-output Gaussian process. CoRR abs/2306.02719 (2023) - [i5]Fabian Ritter Gutierrez, Kuan-Po Huang, Dianwen Ng, Jeremy Heng Meng Wong, Hung-yi Lee, Eng Siong Chng, Nancy F. Chen
Noise robust distillation of self-supervised speech models via correlation metrics. CoRR abs/2312.12153 (2023) - 2022
- [c13]Jeremy Heng Meng Wong, Huayun Zhang, Nancy F. Chen
Variations of multi-task learning for spoken language assessment. INTERSPEECH 2022: 4456-4460 - [c12]Jeremy Heng Meng Wong, Yifan Gong:
Joint Speaker Diarisation and Tracking in Switching State-Space Model. SLT 2022: 605-612 - [c11]Jeremy Heng Meng Wong, Igor Abramovski, Xiong Xiao, Yifan Gong:
Diarisation Using Location Tracking with Agglomerative Clustering. SLT 2022: 613-619 - 2021
- [c10]Jeremy Heng Meng Wong, Dimitrios Dimitriadis, Ken'ichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li
Ensemble Combination between Different Time Segmentations. ICASSP 2021: 6768-6772 - [c9]Jeremy Heng Meng Wong, Xiong Xiao, Yifan Gong:
Hidden Markov Model Diarisation with Speaker Location Information. ICASSP 2021: 7158-7162 - [i4]Jeremy Heng Meng Wong, Igor Abramovski, Xiong Xiao, Yifan Gong:
Diarisation using location tracking with agglomerative clustering. CoRR abs/2109.10598 (2021) - [i3]Jeremy Heng Meng Wong, Yifan Gong:
Joint speaker diarisation and tracking in switching state-space model. CoRR abs/2109.11140 (2021) - 2020
- [c8]Jinyu Li
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. ICASSP 2020: 7699-7703 - [c7]Jeremy Heng Meng Wong, Yashesh Gaur, Rui Zhao, Liang Lu, Eric Sun, Jinyu Li
Combination of End-to-End and Hybrid Models for Speech Recognition. INTERSPEECH 2020: 1783-1787 - [i2]Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong:
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. CoRR abs/2003.07482 (2020)
2010 – 2019
- 2019
- [b1]Jeremy Heng Meng Wong:
Ensemble generation and compression for speech recognition. University of Cambridge, UK, 2019 - [j2]Xie Chen
Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1444-1454 (2019) - [j1]Jeremy Heng Meng Wong
General Sequence Teacher-Student Learning. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1725-1736 (2019) - [c6]Jeremy Heng Meng Wong, Mark J. F. Gales, Yu Wang:
Learning Between Different Teacher and Student Models in ASR. ASRU 2019: 93-99 - 2018
- [c5]Yu Wang, Xie Chen, Mark J. F. Gales, Anton Ragni, Jeremy Heng Meng Wong:
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription. ICASSP 2018: 5899-5903 - [c4]Yu Wang, Jeremy Heng Meng Wong, Mark J. F. Gales, Kate M. Knill, Anton Ragni:
Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment. SLT 2018: 994-1000 - [i1]Yu Wang, Xie Chen, Mark J. F. Gales, Anton Ragni, Jeremy Heng Meng Wong:
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription. CoRR abs/1802.00254 (2018) - 2017
- [c3]Jeremy Heng Meng Wong, Mark J. F. Gales:
Multi-task ensembles with teacher-student training. ASRU 2017: 84-90 - [c2]Jeremy Heng Meng Wong, Mark J. F. Gales:
Student-Teacher Training with Diverse Decision Tree Ensembles. INTERSPEECH 2017: 117-121 - 2016
- [c1]Jeremy Heng Meng Wong, Mark J. F. Gales:
Sequence Student-Teacher Training of Deep Neural Networks. INTERSPEECH 2016: 2761-2765
Coauthor Index
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