22 citations · 60 across the 16 of their papers we have counts for
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cs.LG2016
Training variance and performance evaluation of neural networks in speech
Ewout van den Berg, Bhuvana Ramabhadran, Michael Picheny
In this work we study variance in the results of neural network training on a wide variety of configurations in automatic speech recognition. Although this variance itself is well…
cs.LG2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani +8
We study large-scale kernel methods for acoustic modeling and compare to DNNs on performance metrics related to both acoustic modeling and recognition. Measuring perplexity and fra…