Speech intelligibility assessment of dysarthria using Fisher vector encoding
Author:
Publisher
Elsevier BV
Subject
Human-Computer Interaction,Theoretical Computer Science,Software
Reference47 articles.
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4. Bhat, C., Vacchani, B., Kopparapu, S.K., 2017. Automatic assessment of dysarthria severity level using audio descriptors. In: Proceedings of IEEE International Conference On Acoustics, Speech and Signal Processing, New Orleans, LA, USA, 5070–5074.
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1. The Detection of Dysarthria Severity Levels Using AI Models: A Review;IEEE Access;2024
2. An Intelligent System for Dysarthria Classification of Male and Female Processed Dataset using Sequential Model Parameters;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23
3. Automatic Analyses of Dysarthric Speech based on Distinctive Features;APSIPA Transactions on Signal and Information Processing;2023
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