A Non-Intrusive Approach to Assessing Dysarthria Severity: Advancing Clinical Diagnosis
Author:
Affiliation:
1. The Chinese University of Hong Kong, Shenzhen
2. Tianjin University Tianjin, China
3. Saw Swee Hock School of Public Health National University of Singapore Singapore
4. The Chinese University of Hong Kong, Shenzhen Shenzhen, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3651449
Reference12 articles.
1. Spectro-Temporal Representation of Speech for Intelligibility Assessment of Dysarthria
2. Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques
3. NeuroSpeech: An open-source software for Parkinson's speech analysis
4. Michel Ruben Benard Jorien Susanne Mensink and Deniz Başkent. Individual differences in top-down restoration of interrupted speech: Links to linguistic and cognitive abilities. The Journal of the Acoustical Society of America 135(2):EL88--EL94 2014.
5. Multiple Vowels Repair Based on Pitch Extraction and Line Spectrum Pair Feature for Voice Disorder
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