Pathology Detection by Speech Analysis: An Overview
نویسندگان
چکیده
Automatic speech recognition is a mature field with several commercial applications. More recently, speech analysis has been used for healthcare tasks such as pathology detection. Several pathologies have been considered so far, including physiological pathologies such as hoarseness, nodule, polyp, cyst, cancer, polypoid hyperplasia, keratosis, papilloma, and neurodegenerative brain disorders (NBD) such as Parkinson’s disease (PD), Alzheimer disease (AD), and mild cognitive impairment (MCI). In contrast to speech recognition, content of the speech is often not of interest but characteristics like prosody are. In this study, a literature survey on pathology detection is provided, by targeting the most studied pathologies.
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