Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model
Background and Objective Automatic voice pathology detection using sustained vowels has been widely explored. Because of the stationary nature of the speech waveform, pathology detection with a sustained vowel is a comparatively easier task than that using a running speech. Some disorder detection s...
| Main Authors: | Ali, Z., Elamvazuthi, I., Alsulaiman, M., Muhammad, G. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30796 / |
| Published: |
Mosby Inc.
2016
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949997124&doi=10.1016%2fj.jvoice.2015.08.010&partnerID=40&md5=f7cd22682db3f440cbc29e78a693db31 http://eprints.utp.edu.my/30796/ |
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