Automatic speech recognition for dysphonic patients by using oriented local features

Ali, Z. and Muhammad, G. and Alsulaiman, M. and Elamvazuthi, I. and Al-Mutib, K. (2014) Automatic speech recognition for dysphonic patients by using oriented local features. In: UNSPECIFIED.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 ; Conference Date: 13 October 2014 Through 15 October 2014; Conference Code:109020
Uncontrolled Keywords: Speech, Arabic digits; Automatic speech recognition; HMM; MFCC; Vocal folds, Speech recognition
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:16
Last Modified: 09 Nov 2023 16:16
URI: https://khub.utp.edu.my/scholars/id/eprint/4814

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