Voice pathology detection using interlaced derivative pattern on glottal source excitation
详细信息 查看全文
- 作者：Ghulam Muhammada ; ghulam@ksu.edu.sa" class="auth_mail" title="E-mail the corresponding author ; gmd_babu@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Mansour Alsulaimana ; Zulfiqar Alia ; b ; Tamer A. Mesallamc ; d ; e ; Mohamed Farahatc ; d ; Khalid H. Malkic ; d ; Ahmed Al-nasheria ; Mohamed A. Bencherifa
- 关键词：Interlaced derivative pattern (IDP) ; AVPD ; SVD ; MEEI ; Voice pathology detection ; Glottal source excitation
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：156-164
- 全文大小：1971 K
文摘
- class="listitem" id="list_lis0005">
- class="label">•
Interlaced derivative pattern (IDP) based system is introduced for voice pathology detection/classification.
- class="label">•
First-order derivative of glottal source signal is utilized.
- class="label">•
Single database and cross databases experiments are performed.
- class="label">•
In cross-database experiments, the accuracies are 88.5% for detection and 90.3% for classification.