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.

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.
Alsulaiman, Mansour ; Muhammad, Ghulam ; Alomari, Mohammed A. ; Alshehri, Mohammed A. ; Ali, Zulfiqar ; Mahmood, Awais. / An automatic diagnostic system for medically disordered voice. Paper presented at 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Las Vegas, NV, United States.6 p.
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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.",
keywords = "Arabic database, Automatic diagnostic system, Euclidean distance, Formants, Voice disorder",
author = "Mansour Alsulaiman and Ghulam Muhammad and Alomari, {Mohammed A.} and Alshehri, {Mohammed A.} and Zulfiqar Ali and Awais Mahmood",
year = "2011",
month = "12",
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note = "2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 ; Conference date: 18-07-2011 Through 21-07-2011",

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Alsulaiman, M, Muhammad, G, Alomari, MA, Alshehri, MA, Ali, Z & Mahmood, A 2011, 'An automatic diagnostic system for medically disordered voice' Paper presented at 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Las Vegas, NV, United States, 18/07/11 - 21/07/11, pp. 213-218.

An automatic diagnostic system for medically disordered voice. / Alsulaiman, Mansour; Muhammad, Ghulam; Alomari, Mohammed A.; Alshehri, Mohammed A.; Ali, Zulfiqar; Mahmood, Awais.

2011. 213-218 Paper presented at 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Las Vegas, NV, United States.

Research output: Contribution to conferencePaper

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T1 - An automatic diagnostic system for medically disordered voice

AU - Alsulaiman, Mansour

AU - Muhammad, Ghulam

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AU - Ali, Zulfiqar

AU - Mahmood, Awais

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Y1 - 2011/12/1

N2 - 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.

AB - 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.

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KW - Automatic diagnostic system

KW - Euclidean distance

KW - Formants

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