Abstract

The main topic of this paper was to research the use of recurrent neural networks in the process of automatic speech processing. The starting point was a modified version of RECNET as developed by Robinson. This phoneme recognizer is based on a RNN. But post-processing is based on Hidden Markov Models. A parallel version of RECNET was implemented on a parallel computer (nCUBE2) and Elman RNN was used as postprocessor. Word segmentation is also realized using an Elman RNN. The network models and results of testing are reported in this paper.