Automatic speech recognition for dysphonic patients by using oriented local features

Zulfiqar Ali; Ghulam Muhammad; Mansour Alsulaiman; Irraivan Elamvazuthi; Khalid Al-Mutib

Automatic speech recognition for dysphonic patients by using oriented local features

Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, Irraivan Elamvazuthi, Khalid Al-Mutib

Research output: Contribution to conference › Paper › peer-review

Abstract

The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capable to recognize a speech from a normal person as well as a person having dysphonic. In this paper, we propose a new speech feature to use in automatic speech recognition system of disordered speech. We compare the performance of this feature with the most widely used speech feature in speech recognition. The comparison is done using spoken words uttered by both normal and dysphonic patients. The obtained results with the proposed technique are good and comparable to the existing method. Copyright ISCA, CAINE 2014.

Original language	English
Pages	269-274
Number of pages	6
Publication status	Published (in print/issue) - 1 Jan 2014
Event	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 - New Orleans, United States Duration: 13 Oct 2014 → 15 Oct 2014

Conference

Conference	27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014
Country/Territory	United States
City	New Orleans
Period	13/10/14 → 15/10/14

Keywords

Arabic digits
Automatic speech recognition
HMM
MFCC
Vocal fold disorders

Cite this

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title = "Automatic speech recognition for dysphonic patients by using oriented local features",

abstract = "The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capable to recognize a speech from a normal person as well as a person having dysphonic. In this paper, we propose a new speech feature to use in automatic speech recognition system of disordered speech. We compare the performance of this feature with the most widely used speech feature in speech recognition. The comparison is done using spoken words uttered by both normal and dysphonic patients. The obtained results with the proposed technique are good and comparable to the existing method. Copyright ISCA, CAINE 2014.",

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Automatic speech recognition for dysphonic patients by using oriented local features. / Ali, Zulfiqar; Muhammad, Ghulam; Alsulaiman, Mansour et al.
2014. 269-274 Paper presented at 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014, New Orleans, United States.

Research output: Contribution to conference › Paper › peer-review

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T1 - Automatic speech recognition for dysphonic patients by using oriented local features

AU - Ali, Zulfiqar

AU - Muhammad, Ghulam

AU - Alsulaiman, Mansour

AU - Elamvazuthi, Irraivan

AU - Al-Mutib, Khalid

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capable to recognize a speech from a normal person as well as a person having dysphonic. In this paper, we propose a new speech feature to use in automatic speech recognition system of disordered speech. We compare the performance of this feature with the most widely used speech feature in speech recognition. The comparison is done using spoken words uttered by both normal and dysphonic patients. The obtained results with the proposed technique are good and comparable to the existing method. Copyright ISCA, CAINE 2014.

AB - The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capable to recognize a speech from a normal person as well as a person having dysphonic. In this paper, we propose a new speech feature to use in automatic speech recognition system of disordered speech. We compare the performance of this feature with the most widely used speech feature in speech recognition. The comparison is done using spoken words uttered by both normal and dysphonic patients. The obtained results with the proposed technique are good and comparable to the existing method. Copyright ISCA, CAINE 2014.

KW - Arabic digits

KW - Automatic speech recognition

KW - HMM

KW - MFCC

KW - Vocal fold disorders

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T2 - 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014

Y2 - 13 October 2014 through 15 October 2014

ER -

Automatic speech recognition for dysphonic patients by using oriented local features

Abstract

Conference

Keywords

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