Machine Learning-Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks
The assessment of speech in Cerebellar Ataxia (CA) is time-consuming and requires clinical interpretation. In this study, we introduce a fully automated objective algorithm that uses significant acoustic features from time, spectral, cepstral, and non-linear dynamics present in microphone data obtai...
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE
2023-01-01
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| coleção: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10323348/ |