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Article type: Research Article
Authors: Abu-Sharkh, Osama M.F.; * | Surkhi, Ibrahim | Zabin, Hamzah | Alhasan, Maher
Affiliations: King Abdullah II School of Engineering, Princess Sumaya University for Technology, Amman, Jordan
Correspondence: [*] Corresponding author. Osama M.F. Abu-Sharkh, King Abdullah II School of Engineering, Princess Sumaya University for Technology, Khalil Alsaket Street, Amman 11941, Amman, Jordan. E-mail: [email protected].
Abstract: As the entire world is becoming increasingly a global village, the need for reliable, smooth, and easy-to-use applications that facilitate the communication process between people speaking different languages worldwide becomes essential, especially in the tourism industry. While numerous online and mobile applications attempt to bridge the linguistic gap using text-to-text, text-to-voice, or voice-to-text-to-voice translators, they often fall short due to constraints such as the need for a single shared device, manual setup of speaker’s gender and preferred language, and an inability to communicate from a distance. These applications struggle to mimic the practical nature of real-time multilingual conversations where immediate and clear communication is paramount. This paper introduces an intelligent peer-to-peer polyglot voice-to-voice mobile application to facilitate the communication of people speaking different languages worldwide transparently mimicking a live conversation whether the involved parties are close to each other or at a nearby distance. People can interact with others transparently using their preferred language, irrespective of others’ languages, while the application automatically recognizes the language, gender of the speaker, and spoken words with very high accuracy. Five languages were implemented in the developed application as a proof-of-concept, and it is designed to smoothly and simply adapt more in future updates.
Keywords: Multilingual, intelligent, text-to-voice, translation, voice-to-text
DOI: 10.3233/JIFS-219388
Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
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