Hierarchical Multi-Class Classification of Voice Disorders Using Self-Supervised Models and Glottal Features
Author:
Affiliation:
1. Department of Information and Communications Engineering, Aalto University, Espoo, Finland
Funder
Academy of Finland
Aalto-Yliopisto
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/8782710/10040759/10038528.pdf?arnumber=10038528
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1. Pathological Voice Assessment
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5. On modeling glottal source information for phonation assessment in Parkinson's disease;vásquez-correa;Proc INTERSPEECH,0
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