PATHOLOGY ASSESSMENT METHODS FOR VOCAL FOLD DISORDERS
Vocal fold disorder detection and classification methods are generally developed by using speech signals of sustained vowel and running speech.
Saved in:
Main Author: | ALI, ZULFIQAR |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/20278/1/2017%20-%20ELECTRICAL%20%26%20ELECTRONIC%20-%20PATHOLOGY%20ASSESSMENT%20METHODS%20FOR%20VOCAL%20FOLD%20DISORDERS%20-%20ZULFIQAR%20ALI.pdf http://utpedia.utp.edu.my/20278/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of vocal fold vibrations from high-speed digital images based on dynamic time warping
by: A. Rahman, A. I., et al.
Published: (2014) -
A hybrid expert system approach for telemonitoring of vocal fold pathology
by: Hariharan, Muthusamy, Dr., et al.
Published: (2014) -
Time-domain features and probabilistic neural network for the detection of vocal fold pathology
by: Hariharan, Muthusamy, et al.
Published: (2010) -
Application of Speech Recognition for Swiftlet Vocalizations
by: Siti Nurzalikha Zaini, Husni Zaini, et al.
Published: (2013) -
Diagnosis of vocal fold pathology using time-domain features and systole activated neural network
by: Paulraj, Murugesa Pandiyan, Prof. Madya, et al.
Published: (2010)