An automatic diagnostic system for medically disordered voice

Mansour Alsulaiman, Ghulam Muhammad, Mohammed A. Alomari, Mohammed A. Alshehri, Zulfiqar Ali, Awais Mahmood

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The automatic detection of vocal cord/vocal tract diseases from the medically disordered speech is a challenging task in the medical field. An automatic diagnostic system for the medically disordered voice is proposed in this paper. The developed system takes speech recorded by a patient having a disorder in his/her voice, as an input. The system gives the type of voice disorder as an output. The output is accompanied by a confidence score that tells about the systems confidence of correctly recognizing the type of the disorder as output. In the system, after the detection of the vowels from the disordered speech, two formants F1 and F2 are extracted from the vowels and Euclidean distance is used for classification. The results of the proposed system are encouraging.

Original languageEnglish
Pages213-218
Number of pages6
Publication statusPublished - 1 Dec 2011
Event2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
Duration: 18 Jul 201121 Jul 2011

Conference

Conference2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
CountryUnited States
CityLas Vegas, NV
Period18/07/1121/07/11

Keywords

  • Arabic database
  • Automatic diagnostic system
  • Euclidean distance
  • Formants
  • Voice disorder

Cite this

Alsulaiman, M., Muhammad, G., Alomari, M. A., Alshehri, M. A., Ali, Z., & Mahmood, A. (2011). An automatic diagnostic system for medically disordered voice. 213-218. Paper presented at 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Las Vegas, NV, United States.