Vocal Tract Detection using Yolo v8

Speech is a means by which an individual can interact with the society in which he or she is inserted, but its weakness can lead to social exclusion and pathological stigma, so it is necessary to understand the speech process in a systematized and specified way. In this paper, this understanding is proposed through the detection of vocal tract using the YOLO v7 framework in a vocal tract represented by a magnetic resonance image, to observe the accuracy and performance of the model in order to help the specialist recognize a pattern in the individual's speech and consequently the maturity and evolution of the applied framework..