Approaches of Detecting and Analyzing the Thyroid Disease: A Review

Speech signal processing is one of the most interesting areas to work with. Speech signal consists of scads of information like gender categorization, various voice features, emotion characteristics etc. Every speaker and speech has its own special signal characteristics. This review is a proposed approach which is an analysis of various methods for detecting the thyroid diseases. Basically, thyroid is butterfly-shaped gland present in the lower anterior of the neck. This controls the metabolism of the body. Different methods used for detecting thyroid disease differentiating into two ways i.e. Biomedical Analysis and Signal Processing. In this review, diverse bio-medical methods like voice self-perceptual assessment, statistical analysis, complication analysis and surgical analysis has been explained. In signal processing method, CAD (Computer Aided Diagnosis) and Acoustic Voice Analysis approaches are found. The main approach of this review is to illustrate the various methods and approaches available to detect thyroid disorders.