In this book, hierarchical structures based on neural networks are
investigated for automatic speech recognition. These structures are
mainly evaluated within the phoneme recognition task under the
Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN)
paradigm. The baseline hierarchical scheme consists of two levels
each which is based on a Multilayered Perceptron (MLP).
Additionally, the output of the first level is used as an input for
the second level. This system can be substantially speeded up by
removing the redundant information contained at the output of the
first level.
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