Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From Speech-Reference-Cited by-同舟云学术

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Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From Speech

Published:2023 Issue: Volume:31 Page:3234-3244
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Gosztolya Gábor¹^ORCID,Svindt Veronika²,Bóna Judit³,Hoffmann Ildikó²

Affiliation:

1. ELKH-SZTE Research Group on Artificial Intelligence, Szeged, Hungary

2. Research Center for Linguistics, Budapest, Hungary

3. Department of Applied Linguistics and Phonetics, ELTE Eötvös Loránd University, Budapest, Hungary

Funder

National Research, Development and Innovation

Framework of the Artificial Intelligence National Laboratory Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10210422.pdf?arnumber=10210422

Reference77 articles.

1. Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus

2. Connectionist temporal classification

3. Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition

4. Continuous Emotion Recognition in Speech — Do We Need Recurrence?

5. Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System

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