Max W. Y. Lam

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 33

Top Topics

Speech Recognition

Diffusion Model

Top Venues

Publications

Xiang Li, Songxiang Liu, Max W. Y. Lam, Zhiyong Wu, Chao Weng, Helen Meng
Diverse and Expressive Speech Prosody Prediction with Denoising Diffusion Probabilistic Model. CoRR (2023)
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
Efficient Neural Music Generation. CoRR (2023)
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
Efficient Neural Music Generation. NeurIPS (2023)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. ICLR (2022)
Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. IJCAI (2022)
Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. CoRR (2022)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. CoRR (2022)
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. AAAI (2021)
Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu
Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. Interspeech (2021)
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu
Contrastive Separative Coding for Self-Supervised Representation Learning. ICASSP (2021)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation. CoRR (2021)
Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu
Bilateral Denoising Diffusion Models. CoRR (2021)
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu
Contrastive Separative Coding for Self-supervised Representation Learning. CoRR (2021)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation. ICASSP (2021)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. CoRR (2021)
Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. CoRR (2021)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. SLT (2021)
Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu
Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. CoRR (2021)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models. ICASSP (2020)
Jianwei Yu, Max W. Y. Lam, Xie Chen, Shoukang Hu, Songxiang Liu, Xixin Wu, Xunying Liu, Helen Meng
Recurrent Neural Network Language Model Training Using Natural Gradient. ICASSP (2019)
Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu
Mixup-breakdown: a consistency training method for improving generalization of speech separation models. CoRR (2019)
Jianwei Yu, Max W. Y. Lam, Shoukang Hu, Xixin Wu, Xu Li, Yuewen Cao, Xunying Liu, Helen Meng
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models. INTERSPEECH (2019)
Shoukang Hu, Xurong Xie, Shansong Liu, Max W. Y. Lam, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition. INTERSPEECH (2019)
Max W. Y. Lam, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng
Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition. ICASSP (2019)
Shoukang Hu, Max W. Y. Lam, Xurong Xie, Shansong Liu, Jianwei Yu, Xixin Wu, Xunying Liu, Helen Meng
Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition. ICASSP (2019)
Max W. Y. Lam, Jun Wang, Xunying Liu, Helen Meng, Dan Su, Dong Yu
Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition. INTERSPEECH (2019)
Max W. Y. Lam, Shoukang Hu, Xurong Xie, Shansong Liu, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen Meng
Gaussian Process Neural Networks for Speech Recognition. INTERSPEECH (2018)
Max W. Y. Lam
One-Match-Ahead Forecasting in Two-Team Sports with Stacked Bayesian Regressions. J. Artif. Intell. Soft Comput. Res. 8 (3) (2018)
Jianwei Yu, Xurong Xie, Shansong Liu, Shoukang Hu, Max W. Y. Lam, Xixin Wu, Ka Ho Wong, Xunying Liu, Helen Meng
Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus. INTERSPEECH (2018)
Max W. Y. Lam, Xunying Liu, Helen Mei-Ling Meng, Kelvin Kam-fai Tsoi
Drawing-Based Automatic Dementia Screening Using Gaussian Process Markov Chains. HICSS (2018)
Kelvin Kam-fai Tsoi, Max W. Y. Lam, Christopher T. K. Chu, Michael P. F. Wong, Helen Mei-Ling Meng
Machine Learning on Drawing Behavior for Dementia Screening. DH (2018)
Max W. Y. Lam
TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports. ICAISC (2) (2017)
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
Classification of Visit-to-Visit Blood Pressure Variability: A Machine Learning Approach for Data Clustering on Systolic Blood Pressure Intervention Trial (SPRINT). DH (2017)