Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)

The evolution of technology has been made to bring the most benefits to human-being on communication and to facilitate their day-to-day activities. Technologies contribution, such as mobile application, has been proved to have a high capability to cater to the needs of a person with disabilities. The usage of smartphone is limited for visually impaired(VI) community as most of the currently available mobile application are not user-friendly for people with vision disability. Although smartphones nowadays are offering accessibility services such as TalkBack for Android and VoiceOver for iOS, these accessibilities provide fewer functions on navigating the VI community. A speech interface system(SIS) in mobile application combined with object and distance detection could help the VI community to navigate to their destination only with the use of a smartphone. This Systematic Literature Review (SLR) provide our findings on the present study of speech recognition projects and the requirement issues of speech recognition in mobile application platform throughout supporting VI people. Three journal databases (Google Scholar, IEEE Explore and Science Direct) has been searching throughout this SLR with articles ranging from the year of 2013–2019. A result of 136 article titles, abstracts of 73 articles were examined, 35 full-text articles were selected for final review. A total of 19 articles are analyzed. The purpose of the SLR is to collect the technique, evaluation methods and the validation of the projects.

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[2]  Paavo Alku,et al.  Alternating minimisation for glottal inverse filtering , 2017 .

[3]  Hamza A. AlAbri,et al.  NavEye: Smart guide for blind students , 2014, 2014 Systems and Information Engineering Design Symposium (SIEDS).

[4]  G. Ram Mohana Reddy,et al.  An Android GPS-Based Navigation Application For Blind , 2014, VINCI '14.

[5]  D H Klatt,et al.  Review of text-to-speech conversion for English. , 1987, The Journal of the Acoustical Society of America.

[6]  David Griol,et al.  Implementing Speech Input and Output , 2016 .

[7]  Ariffin Abdul Mutalib,et al.  Assistive Courseware for Visually-Impaired , 2009, IVIC.

[8]  S. Thelijjagoda,et al.  Project Bhashitha - Mobile Based Optical Character Recognition and Text-to-Speech System , 2018, 2018 13th International Conference on Computer Science & Education (ICCSE).

[9]  Ma. Corazon G. Fernando,et al.  Gabay tinig: a 3D interactive audiobook with voice recognition for visually-impaired and blind preschool students using mobile technologies , 2017, ICCIP.

[10]  Adam Dąbrowski,et al.  A new Android application for blind and visually impaired people , 2016, 2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).

[11]  Samantha Thelijjagoda,et al.  Voice-based Road Navigation System Using Natural Language Processing (NLP) , 2018, 2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS).

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[13]  N. D. K. Guruge,et al.  INSIGHT: PERSONAL ASSISTANT MOBILE APPLICATION FOR THE VISUALLY IMPAIRED IN SRI LANKA , 2016 .

[14]  Katariina Martikainen,et al.  A facial recognition application for elderly care : Caregiver verification and identification , 2018 .

[15]  Somaya Al-Maadeed,et al.  A Bilingual Scene-to-Speech Mobile Based Application , 2018, 2018 International Conference on Computer and Applications (ICCA).

[16]  Gerald Penn,et al.  Convolutional Neural Networks for Speech Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[17]  E Chandra,et al.  A Review on Automatic Speech Recognition Architecture and Approaches , 2016 .

[18]  Saswati Mukherjee,et al.  Android-based Text Reader for Partial Vision Impairment , 2018, 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

[19]  Marco Antonio T. Subion,et al.  VIP READY: A Mobile Leisure Search Engine for Visually Impaired Persons Utilizing Phone Motion and Speech Recognition , 2018, 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).

[20]  Pius Adewale Owolawi,et al.  An overview of vision substitution system for the visually impaired , 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).

[21]  P. Goh,et al.  Unravelling Leber hereditary optic neuropathy , 2002, The British journal of ophthalmology.