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All Journal International Journal of Artificial Intelligence International Journal of Recent Technology and Applied Science (IJORTAS)
Chukwudi, Ogenyi Fabian
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Journal : International Journal of Artificial Intelligence

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A Review of Cross-Platform Document File Reader Using Speech Synthesis Chukwudi, Ogenyi Fabian; Eze, Val Hyginus Udoka; Chinyere, Ugwu
International Journal of Artificial Intelligence Vol 10 No 2: December 2023
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01002.569

Abstract

Document files are files used to store documents on storage devices primarily for computer use. Software is used to view these files, displaying their text content in a legible way. However, it is essential to have programs for transforming electronic files into versions usable by those who suffer from specific disabilities. This paper reviewed fifteen published articles in the field of document file reading. It was observed from the review that various attempts have been made by different researchers in order to develop a software cable for converting document files that consist of text to an audio format. Text may now be easily translated into natural-sounding voice across many platforms using different software. It was observed from the systematic review that the use of AI such as the GPT-3.5 and GPT-4 Turbo Large Language Model (LLM) technologies has the best performance because it does not end at producing a vocal sound that is similar to human own, but it also translates different languages. In conclusion, cross-platform document file reader (text-to-speech) synthesis has improved user experiences in a variety of applications such as language learning, audiobooks and virtual assistants.
Co-Authors Chinyere, Ugwu Eze, Val Hyginus Udoka Uche, Chikadibia Kalu Awa Wisdom, Okafor