Neural network model for isolated-utterance speech recognition
Jung H. Kim, T.C. Ervin, Evi H. Park, Celestine A. Ntuen, Shiu M. Cheung, Wagih H. Makky · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
Speech recognition by machine has finally come of age in a practical sense. A major problem in speech recognition, however, stems from the large variance of different utterances for the same word. This paper proposes an efficient method of achieving high accuracy speaker- independent isolated-word recognition through the implementation of associative memories and neural networks. The basic architecture of such a process involves two-stages: speech analysis and recognition.