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Why Deep Neural Networks Are Promising for Speech Recognition

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  • UserDr Dong Yu - Microsoft Research
  • ClockMonday 02 July 2012, 11:00-12:30
  • HouseLecture Room 4.

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Recently we have proposed and developed the context-dependent deep neural network (DNN) hidden Markov model (CD-DNN-HMM) for large vocabulary speech recognition (LVSR) and demonstrated its superior performance on several benchmark tasks. In this talk I will share the observations and thoughts we have in understanding why DNNs can be more powerful than the shallow neural networks and why CD-DNN-HMMs can outperform the conventional CD-GMM-HMM system and earlier ANN /HMM hybrid systems. At the end of the talk I will discuss how CD-DNN-HMM can be further improved to achieve even better recognition accuracy.

This talk is part of the Why Deep Neural Networks Are Promising for Speech Recognition series.

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