Linear hidden transformations for adaptation of hybrid ANN/HMM models

Speech Communication, pp. 827-835, 2007.

Cited by: 123|Views20
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Abstract:

This paper focuses on the adaptation of Automatic Speech Recognition systems using Hybrid models combining Artificial Neural Networks (ANN) with Hidden Markov Models (HMM). Most adaptation techniques for ANNs reported in the literature consist in adding a linear transformation network connected to the input of the ANN. This paper describe...More

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