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Max W. Y. Lam
Max W. Y. Lam
Independent Researcher
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Title
Cited by
Cited by
Year
Fastdiff: A fast conditional diffusion model for high-quality speech synthesis
R Huang, MWY Lam, J Wang, D Su, D Yu, Y Ren, Z Zhao
arXiv preprint arXiv:2204.09934, 2022
1112022
BDDM: Bilateral denoising diffusion models for fast and high-quality speech synthesis
MWY Lam, J Wang, D Su, D Yu
arXiv preprint arXiv:2203.13508, 2022
103*2022
Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus.
J Yu, X Xie, S Liu, S Hu, MWY Lam, X Wu, KH Wong, X Liu, H Meng
Interspeech, 2938-2942, 2018
532018
Sandglasset: A light multi-granularity self-attentive network for time-domain speech separation
MWY Lam, J Wang, D Su, D Yu
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
442021
Gaussian process lstm recurrent neural network language models for speech recognition
MWY Lam, X Chen, S Hu, J Yu, X Liu, H Meng
ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019
392019
Effective low-cost time-domain audio separation using globally attentive locally recurrent networks
MWY Lam, J Wang, D Su, D Yu
2021 IEEE Spoken Language Technology Workshop (SLT), 801-808, 2021
312021
One-match-ahead forecasting in two-team sports with stacked Bayesian regressions
MWY Lam
Journal of Artificial Intelligence and Soft Computing Research 8 (3), 159-171, 2018
302018
QuaRL: Quantization for fast and environmentally sustainable reinforcement learning
S Krishnan, M Lam, S Chitlangia, Z Wan, G Barth-Maron, A Faust, ...
arXiv preprint arXiv:1910.01055, 2019
202019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models
MWY Lam, J Wang, D Su, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
192020
Benchmarking TinyML systems: Challenges and direction. arXiv
CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
152020
Bayesian and gaussian process neural networks for large vocabulary continuous speech recognition
S Hu, MWY Lam, X Xie, S Liu, J Yu, X Wu, X Liu, H Meng
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
152019
Efficient neural music generation
MWY Lam, Q Tian, T Li, Z Yin, S Feng, M Tu, Y Ji, R Xia, M Ma, X Song, ...
Advances in Neural Information Processing Systems 36, 2024
122024
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition.
S Hu, X Xie, S Liu, MWY Lam, J Yu, X Wu, X Liu, H Meng
Interspeech, 2793-2797, 2019
112019
Gaussian Process Neural Networks for Speech Recognition.
MWY Lam, S Hu, X Xie, S Liu, J Yu, R Su, X Liu, H Meng
INTERSPEECH, 1778-1782, 2018
112018
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models.
J Yu, MWY Lam, S Hu, X Wu, X Li, Y Cao, X Liu, H Meng
Interspeech, 3510-3514, 2019
92019
Raw waveform encoder with multi-scale globally attentive locally recurrent networks for end-to-end speech recognition
MWY Lam, J Wang, C Weng, D Su, D Yu
arXiv preprint arXiv:2106.04275, 2021
82021
Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition.
MWY Lam, J Wang, X Liu, H Meng, D Su, D Yu
INTERSPEECH, 2778-2782, 2019
82019
Tune-in: Training under negative environments with interference for attention networks simulating cocktail party effect
J Wang, MWY Lam, D Su, D Yu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 13961 …, 2021
72021
Machine learning on drawing behavior for dementia screening
KKF Tsoi, MWY Lam, CTK Chu, MPF Wong, HML Meng
Proceedings of the 2018 International Conference on Digital Health, 131-132, 2018
72018
Contrastive Separative Coding for Self-Supervised Representation Learning
J Wang, MWY Lam, D Su, D Yu
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
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Articles 1–20