Open Access
Applications of Neural Network Models in Automatic Speech Recognition.
TLDR
An outline of a speech recognition system that uses neural network modules for learning and recognition is proposed, based on the layered structure of existing speech recognition systems, and uses forced learning (feedback) for conditioning the neural modules at the various levels.Abstract:
: Organizations of computing elements that follow the principles of physiological neurons, called neural network models, have been shown to have the capability of learning to recognize patterns and to retrieve complete patterns from partial representations. The implementation of neural network models as VLSI or USLI chips within a few years is certain. This report reviews a number of published papers on neural network models and their capabilities. Then, an outline of a speech recognition system that uses neural network modules for learning and recognition is proposed. It is based on the layered structure of existing speech recognition systems, and uses forced learning (feedback) for conditioning the neural modules at the various levels. (Author)read more
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Proceedings ArticleDOI
Improvement on speech recognition and synthesis for disabled individuals using fuzzy neural net retrofits
TL;DR: An interactive learning system that uses off-the-shelf technology is described, and it is found that the system has a recognition accuracy of 95-98%.