A New Transform Domain Neural Network for Text-To-Phoneme Mapping

In this paper, a new Transform Domain implementation of the well known Multilayer Perceptron Neural Network is presented. With the Transform Domain implementation, the input of the Neural Network can be represented in a more compact manner and the elements of the input vector become uncorrelated. The new Transform Domain Multilayer Perceptron (TDMLP) Neural Network is applied for the problem of Text-To-Phoneme (TTP) mapping and it shows better speed of convergence during training than the well known Multilayer Perceptron (MLP) Neural Network while the phoneme accuracy achieved by the new algorithm is comparable with that of the MLP. Key-Words: Transform Domain Neural Network, Text-To-Phoneme Mapping, Multilayer Perceptron Neural Network, Discrete Cosine Transform, Phoneme Accuracy.