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Neural-FST Class Language Model for End-to-End Speech Recognition
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and finite state transducers (FSTs) in a mathematically consistent framework.
Convergence rates of a partition based Bayesian multivariate density estimation method
We study a class of non-parametric density estimators under Bayesian settings.
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Given $iid$ observations from an unknown absolute continuous distribution defined on some domain $\Omega$, we propose a nonparametric method to learn a piecewise constant function to approximate the underlying probability density function.
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