Towards an Automatic Speech-Based Diagnostic Test for Alzheimer’s Disease

Automatic Speech Recognition (ASR) is widely used in many applications and tools. Smartphones, video games, cars are a few examples where people use ASR routinely often daily. A less commonly used, but potentially very important arena for using ASR, the health domain. For some people, impact on life could be enormous. The goal of this work to develop an easy-to-use, non-invasive, inexpensive speech-based diagnostic test dementia that can easily applied clinician’s office or even at home. While considerable has been published along these lines, increasing dramatically recently, it primarily theoretical value not yet practical apply. large gap exists between current scientific understanding, creation dementia. aim paper bridge theory practice by engineering test. Experimental evidence suggests strong discrimination subjects with diagnosis probable Alzheimer’s vs. matched normal controls achieved combination acoustic features from speech, linguistic extracted transcription results mini mental state exam. fully automatic speech recognition system tuned speech-to-text aspect application, including punctuation, also described.