32 citations · 54 across the 5 of their papers we have counts for
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cs.LG2022
A Treatise On FST Lattice Based MMI Training
Adnan Haider, Tim Ng, Zhen Huang +2
Maximum mutual information (MMI) has become one of the two de facto methods for sequence-level training of speech recognition acoustic models. This paper aims to isolate, identify…
cs.LG2019★ 2 cited
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
Zhen Huang, Tim Ng, Leo Liu +3
Very deep CNNs achieve state-of-the-art results in both computer vision and speech recognition, but are difficult to train. The most popular way to train very deep CNNs is to use s…
cs.LG2015★ 15 cited
Maximum a Posteriori Adaptation of Network Parameters in Deep Models
Zhen Huang, Sabato Marco Siniscalchi, I-Fan Chen +2
We present a Bayesian approach to adapting parameters of a well-trained context-dependent, deep-neural-network, hidden Markov model (CD-DNN-HMM) to improve automatic speech recogni…