Leo J. Lee

A multimodal variational approach to learning and inference in switching state space models [speech processing application]

Paul W. Fieguth, Li Deng, Hagai Attias, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model

Li Deng, Alex Acero, Hagai Attias, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks

Jason S. Hartford, Y. Bengio, Leo J. Lee, 2023, ArXiv.

Hidden Dynamic Models for Speech Processing Applications

Leo Jingyu Lee, Leo J. Lee, 2004 .

Variational inference and learning for segmental switching state space models of hidden speech dynamics

Li Deng, Hagai Attias, Leo J. Lee, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances

Li Deng, Alex Acero, Hagai Attias, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A probabilistic living cell segmentation model

Paul W. Fieguth, Leo J. Lee, Nezamoddin Nezamoddini-Kachouie, 2005, ICIP.

A functional articulatory dynamic model for speech production

Paul W. Fieguth, Li Deng, Leo J. Lee, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).