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Information Theoretic Analysis of DNN-HMM Acoustic Modeling
We propose an information theoretic framework for quantitative assessmen...
08/29/2017 ∙ by Pranay Dighe, et al. ∙
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Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models
Conventional deep neural networks (DNN) for speech acoustic modeling rel...
10/18/2016 ∙ by Pranay Dighe, et al. ∙
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Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding
Most current very low bit rate (VLBR) speech coding systems use hidden M...
04/15/2016 ∙ by Milos Cernak, et al. ∙
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Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition
We propose to model the acoustic space of deep neural network (DNN) clas...
01/22/2016 ∙ by Pranay Dighe, et al. ∙
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On Structured Sparsity of Phonological Posteriors for Linguistic Parsing
The speech signal conveys information on different time scales from shor...
01/21/2016 ∙ by Milos Cernak, et al. ∙
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