ADAPTING HYBRID ANN/HMM TO SPEECH VARIATIONS

2006.

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Abstract:

A technique is proposed for the adaptation of automatic speech recognition systems using Hybrid models combining Artificial Neural Networks with Hidden Markov Models. We investigated in this paper the extension of the classical approach consisting in applying linear transformations not only to the input features, but also to the outputs o...More

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