On-line recognition of spoken words from a large vocabulary

Abstract It is demonstrated in this paper that a real-time, large-vocabulary, isolated-word speech recognition system can effectively be implemented using the following two-stage organization: 1. (1) conversion of the speech signal into phonemic transcriptions, 2. (2) recognition of phonemic transcriptions by advanced searching methods. A comparison of several alternatives for the first stage has indicated that the best accuracy is achieved by the learning-subspace method For the second stage the authors recommend fast string searching by redundant hash addressing combined with subsequent probabilistic analysis. The above system has been implemented in a minicomputer environment.