The simultaneous use of three machine speech recognition systems to increase recognition accuracy

Abstract

Two studies were performed to test the ability of three different automated speech recognition devices working in parallel, along with an Enhanced Majority Rules (EMR) software algorithm, to obtain a combined speech recognition accuracy better than the accuracies produced by each of the individual systems alone. The first experiment, using a rather simple, robust vocabulary, compared the recognition accuracy of the three individual systems with the accuracy obtained by combining the data from all three systems using the EMR algorithm. The second experiment made the same comparison, but a more difficult, non-robust vocabulary was used during testing. Results from both experiments revealed a significant increase in speech recognition accuracy obtained by combining the recognition data from all three systems in the EMR algorithm when compared with two of the three speech recognition systems. The third system, a newer-generation recognition device, performed as well as all three used in concert. The implications of using intelligent software and multiple speech recognition devices to improve speech recognition accuracy are discussed. >