- Title
- Automatic gender detection based on characteristics of vocal folds for mobile healthcare system
- Creator
- Alhussein, Musaed; Ali, Zulfiqar; Imran, Muhammad; Abdul, Wadood
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186411
- Identifier
- vital:16884
- Identifier
-
https://doi.org/10.1155/2016/7805217
- Identifier
- ISBN:1574-017X (ISSN)
- Abstract
- An automatic gender detection may be useful in some cases of a mobile healthcare system. For example, there are some pathologies, such as vocal fold cyst, which mainly occur in female patients. If there is an automatic method for gender detection embedded into the system, it is easy for a healthcare professional to assess and prescribe appropriate medication to the patient. In human voice production system, contribution of the vocal folds is very vital. The length of the vocal folds is gender dependent; a male speaker has longer vocal folds than a female speaker. Due to longer vocal folds, the voice of a male becomes heavy and, therefore, contains more voice intensity. Based on this idea, a new type of time domain acoustic feature for automatic gender detection system is proposed in this paper. The proposed feature measures the voice intensity by calculating the area under the modified voice contour to make the differentiation between males and females. Two different databases are used to show that the proposed feature is independent of text, spoken language, dialect region, recording system, and environment. The obtained results for clean and noisy speech are 98.27% and 96.55%, respectively. © 2016 Musaed Alhussein et al.
- Publisher
- Hindawi Limited
- Relation
- Mobile Information Systems Vol. 2016, no. (2016), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2016 Musaed Alhussein et al.
- Rights
- Open Access
- Subject
- 4006 Communications engineering; 4606 Distributed computing and systems software
- Full Text
- Reviewed
- Funder
- The authors extend their appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia, for funding this work through the research group Project no. RG-1436-016.
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