Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor skills of patients. Extensive research has been done to develop accessible, cost-effective, and non-invasive techniques for the automatic detection of AD. Previous research has shown that speech can be...
Main Authors: | Haulcy, R'mani (R'mani Symon) (Author), Glass, James R (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Frontiers Media SA,
2021-09-22T17:40:42Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
by: R'mani Haulcy, et al.
Published: (2021-01-01) -
Time-to-contact statistics as a proxy for accident probabilities
by: Haulcy, R'mani(R'mani Symon)
Published: (2019) -
An Application of Speech-Text Alignment in Speech Recognition to the Creation of Audio-Books with Speech-Text Synchronization
by: Wei Jay Huang, et al.
Published: (2012) -
Multistage classifier-based approach for Alzheimer's disease prediction and retrieval
by: K.R. Kruthika, et al.
Published: (2019-01-01) -
Audio-visual speech and speaker recognition
by: Seymour, R.
Published: (2008)