An automatic diagnostic system for medically disordered voice

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

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 conference › Paper › peer-review

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 language	English
Pages	213-218
Number of pages	6
Publication status	Published (in print/issue) - 1 Dec 2011
Event	2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States Duration: 18 Jul 2011 → 21 Jul 2011

Conference

Conference	2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Country/Territory	United States
City	Las Vegas, NV
Period	18/07/11 → 21/07/11

Keywords

Arabic database
Automatic diagnostic system
Euclidean distance
Formants
Voice disorder

Cite this

@conference{47940e5de7d444e58364a27c68cd3cc7,

title = "An automatic diagnostic system for medically disordered voice",

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 = dec,

day = "1",

language = "English",

pages = "213--218",

note = "2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 ; Conference date: 18-07-2011 Through 21-07-2011",

}

TY - CONF

T1 - An automatic diagnostic system for medically disordered voice

AU - Alsulaiman, Mansour

AU - Muhammad, Ghulam

AU - Alomari, Mohammed A.

AU - Alshehri, Mohammed A.

AU - Ali, Zulfiqar

AU - Mahmood, Awais

PY - 2011/12/1

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.

KW - Arabic database

KW - Automatic diagnostic system

KW - Euclidean distance

KW - Formants

KW - Voice disorder

UR - http://www.scopus.com/inward/record.url?scp=84864912970&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84864912970

SP - 213

EP - 218

T2 - 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011

Y2 - 18 July 2011 through 21 July 2011

ER -

An automatic diagnostic system for medically disordered voice

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this