Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

18 Oct 2016Pranay DigheAfsaneh AsaeiHerve Bourlard

Conventional deep neural networks (DNN) for speech acoustic modeling rely on Gaussian mixture models (GMM) and hidden Markov model (HMM) to obtain binary class labels as the targets for DNN training. Subword classes in speech recognition systems correspond to context-dependent tied states or senones... (read more)

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