Neural networks applied to speech processing.

Neural networks for speech processing

Temporal Processing Neural Networks for Speech Recognition

Application of the temporal processing neural networks (TPNNs) to the speech recognition is justified by the nature of the task. Indeed ASR is a sequence recognition problem and assumes incorporation of time into decision process. Static models treat elements of sequence as independent patterns, which is clearly unrealistic. On the other hand temporal processing nets, built on the basis of mult...

Speech Processing Using Artificial Neural Networks

A three layer perceptron network is used to classify the /i/ sound using isolated words from diierent speakers. A classiication accuracy of 97% has been achieved. A map of phonemes is used to trace trajectories of utterances using the self-organising neural network. A crinkle factor is proposed which allows using the self-organising map to determine the inherent dimensionality of a set of point...

Neural Networks applied to wireless communications

A b s t r a c t . This paper presents a time-delayed neural network (TDNN) model that has the capability of learning and predicting the dynamic behavior of nonlinear elements that compose a wireless communication system. This model could help speeding up system deployment by reducing modeling time. This paper presents results of effective application of the TDNN model to an amplifier, part of a...

Neural Networks Applied to Smart Structure Control