Abstract:
Considerations in favor of the adequacy of the “visible speech” representations of speech formation are cited and some properties of these representations are established indicating the usefulness of the application of simple groups of transformations for description of classes in recognition algorithms are established. Algorithms for training and recognition based on the use of these groups are described. Information is also presented on the organization of experimental simulation of this approach.