Authors
Navdeep Jaitly, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke
Publication date
2012
Description
Abstract The use of Deep Belief Networks (DBN) to pretrain Neural Networks has recently
led to a resurgence in the use of Artificial Neural Network-Hidden Markov Model
(ANN/HMM) hybrid systems for Automatic Speech Recognition (ASR). In this paper we
report results of a DBN-pretrained context-dependent ANN/HMM system trained on two
datasets that are much larger than any reported previously with DBN-pretrained ANN/HMM
systems-5870 hours of Voice Search and 1400 hours of YouTube data. On the first dataset ...
Total citations
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