Handicapped wheelchair movements using discrete Arabic command recognition
Other Title(s)
تحريك كرس المقعدين من خلال تمييز الأوامر العربية المتقطعة
Joint Authors
al-Shunnaq, Muawiyah
Nahar, Khalid Muhammad Uqlah
al-Khatib, Rad M.
al-Atum, Muhammad Ashraf
al-Sharman, Rafat
Source
Scientific Journal of King Faisal University : Basic and Applied Sciences
Issue
Vol. 21, Issue 1 (30 Jun. 2020), pp.171-184, 14 p.
Publisher
Publication Date
2020-06-30
Country of Publication
Saudi Arabia
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Automatic Speech Recognition (ASR) is an effective and widespread method used to interpret the human voice into commands.
Over the pafl few decades and due to the great evolution in data science, the processing of speech has been embedded in various new technologies.
The benefits of such evolution motivated us to develop a discrete voice syflem for controlling the wheelchair movements for Arab people with physical impairment (handicapped people).
The wheelchair via voice syflem was able to recognize seven isolated words in the Arabic language.
The approach uses the CMU-Sphinx4 ASR for evaluating the effectiveness and the accuracy of the recognition syflem.
A corpus was built, and then the syflem was trained on 70% of this corpus and tefled using the refl of 30%.
The experiments reveal that the recognition rate of the proposed approach is 96%.
The average level of accuracy of the real experiment and corpus-based tefling experiment reached 94%.
American Psychological Association (APA)
Nahar, Khalid Muhammad Uqlah& al-Shunnaq, Muawiyah& al-Sharman, Rafat& al-Khatib, Rad M.& al-Atum, Muhammad Ashraf. 2020. Handicapped wheelchair movements using discrete Arabic command recognition. Scientific Journal of King Faisal University : Basic and Applied Sciences،Vol. 21, no. 1, pp.171-184.
https://search.emarefa.net/detail/BIM-1280257
Modern Language Association (MLA)
Nahar, Khalid Muhammad Uqlah…[et al.]. Handicapped wheelchair movements using discrete Arabic command recognition. Scientific Journal of King Faisal University : Basic and Applied Sciences Vol. 21, no. 1 (Jun. 2020), pp.171-184.
https://search.emarefa.net/detail/BIM-1280257
American Medical Association (AMA)
Nahar, Khalid Muhammad Uqlah& al-Shunnaq, Muawiyah& al-Sharman, Rafat& al-Khatib, Rad M.& al-Atum, Muhammad Ashraf. Handicapped wheelchair movements using discrete Arabic command recognition. Scientific Journal of King Faisal University : Basic and Applied Sciences. 2020. Vol. 21, no. 1, pp.171-184.
https://search.emarefa.net/detail/BIM-1280257
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1280257