Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies

Automatic Assessment of Aphasic Speech Sensed by Audio Sensors for Classification into Aphasia Severity Levels to Recommend Speech Therapies

Aphasia is a type of speech disorder that can cause speech defects in a person. Identifying the severity level of the aphasia patient is critical for the rehabilitation process. In this research, we identify ten aphasia severity levels motivated by specific speech therapies based on the presence or...

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Bibliographic Details
Main Authors: Herath Mudiyanselage Dhammike Piyumal Madhurajith Herath, Weraniyagoda Arachchilage Sahanaka Anuththara Weraniyagoda, Rajapakshage Thilina Madhushan Rajapaksha, Patikiri Arachchige Don Shehan Nilmantha Wijesekara, Kalupahana Liyanage Kushan Sudheera, Peter Han Joo Chong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
aphasia
severity level
deep neural networks
mel frequency cepstral coefficients
audio sensors
speech therapy
Online Access:https://www.mdpi.com/1424-8220/22/18/6966

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https://www.mdpi.com/1424-8220/22/18/6966

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