Feasibility Analysis in Tracking Algorithms for Pattern Recognition through the Lip Articulators

Abstract

Problems in speech and basic emission of vocal sounds are commonly observed in children, however the task of identifying the origin of such disability is complex and prolonged, due to the generic aspect, if by irregular learning or neurobiological disorder, thus causing, in some situations, constant social exclusion. Therefore, it is proposed to use Tracking Algorithms consolidated in specific literature (ACF, Boosting, MIL, Median Flow, KCF, KLT, CRST) for a feasibility analysis in complex computational implementations in the anatomy of human vocal tract from sagittal images. These algorithms are used for understanding the kinematic configuration of multiple dynamic objects and their movements, represented by the upper and lower lips (consequently the 'lip distance' at the moment of speech), using Brazilian Portuguese language, for the extraction and recognition of patterns automatically. The patterns can be used in innovative applications in therapy for children with poor articulation in the vocal tract, based on 'gaps' and specific difficulties in speech.