Automatic speech recognition for dysphonic patients by using oriented local features
The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capab...
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| Main Authors: | Ali, Z., Muhammad, G., Alsulaiman, M., Elamvazuthi, I., Al-Mutib, K. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32008 / |
| Published: |
International Society of Computers and Their Applications (ISCA)
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84913598714&partnerID=40&md5=4d138ace7c38a0c467ceb5bbbf8fa9a8 http://eprints.utp.edu.my/32008/ |
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