Max W. Y. Lam

According to our database, Max W. Y. Lam authored at least 24 papers between 2017 and 2023.

Collaborative distances:

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

2023

Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model.

Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng

CoRR, 2023

Efficient Neural Music Generation.

Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Yuping Wang, Yuxuan Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis.

Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Bilateral Denoising Diffusion Models.

Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu

CoRR, 2021

Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition.

Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu

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

Contrastive Separative Coding for Self-Supervised Representation Learning.

Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2021

Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2021

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect.

Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models.

Jianwei Yu, Max W. Y. Lam, Shoukang Hu, Xixin Wu, Xu Li, Yuewen Cao, Xunying Liu, Helen Meng

Proceedings of the Interspeech 2019, 2019

Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition.

Max W. Y. Lam, Jun Wang, Xunying Liu, Helen Meng, Dan Su, Dong Yu

Proceedings of the Interspeech 2019, 2019

LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition.

Shoukang Hu, Xurong Xie, Shansong Liu, Max W. Y. Lam, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng

Proceedings of the Interspeech 2019, 2019

Recurrent Neural Network Language Model Training Using Natural Gradient.

Jianwei Yu, Max W. Y. Lam, Xie Chen, Shoukang Hu, Songxiang Liu, Xixin Wu, Xunying Liu, Helen Meng

Proceedings of the IEEE International Conference on Acoustics, 2019

Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition.

Max W. Y. Lam, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng

Proceedings of the IEEE International Conference on Acoustics, 2019

Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition.

Shoukang Hu, Max W. Y. Lam, Xurong Xie, Shansong Liu, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions.

Max W. Y. Lam

J. Artif. Intell. Soft Comput. Res., 2018

Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus.

Jianwei Yu, Xurong Xie, Shansong Liu, Shoukang Hu, Max W. Y. Lam, Xixin Wu, Ka Ho Wong, Xunying Liu, Helen Meng

Proceedings of the Interspeech 2018, 2018

Gaussian Process Neural Networks for Speech Recognition.

Max W. Y. Lam, Shoukang Hu, Xurong Xie, Shansong Liu, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen Meng

Proceedings of the Interspeech 2018, 2018

Drawing-Based Automatic Dementia Screening Using Gaussian Process Markov Chains.

Max W. Y. Lam, Xunying Liu, Helen Mei-Ling Meng, Kelvin Kam-fai Tsoi

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Machine Learning on Drawing Behavior for Dementia Screening.

Kelvin Kam-fai Tsoi, Max W. Y. Lam, Christopher T. K. Chu, Michael P. F. Wong, Helen Mei-Ling Meng

Proceedings of the 2018 International Conference on Digital Health, 2018

2017

TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports.

Max W. Y. Lam

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT).

Kelvin Kam-fai Tsoi, Max W. Y. Lam, Felix C. H. Chan, Hoyee W. Hirai, Baker K. K. Bat, Samuel Y. S. Wong, Helen Mei-Ling Meng

Proceedings of the 2017 International Conference on Digital Health, 2017