SEA-TALK: An AI-Powered Voice Translator and Southeast Asian Dialects Recognition

Gerome P. Sales, Carl Angelo L. Rapadas, Dexter Josh S. Salazar, Tristan. Segundo and Ronald Fernandez
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Gerome P. Sales: College of Computing Studies, Universidad De Manila
Carl Angelo L. Rapadas: College of Computing Studies, Universidad De Manila
Dexter Josh S. Salazar: College of Computing Studies, Universidad De Manila
Tristan. Segundo: College of Computing Studies, Universidad De Manila
Ronald Fernandez: College of Computing Studies, Universidad De Manila

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 9, 448-459

Abstract: The study develops and evaluates SEA-Talk, a mobile AI-powered voice-to-voice translator which greatly reduces language transfer difficulties across Southeast Asia. It is often this condition because different dialects, accents, and different degrees of formality often make communication poor in this language. Conducting real-time multilingual communication for Filipino migrant workers, tourists, and students alike is a goal for SEA-Talk, which combines the necessary tools-the digitization of sounds, synthetic speech, machine translation, and speech recognition. The development of the system was done based on the agile procedure that allows improvements in the design through feedback from users. Built upon a layered architecture, it is made up of an in-built translation engine, text-to-speech and speech-to-text modules, and offline capabilities via downloadable language packages. Additional important features, including context-aware translation, formality detection, a correction facility, and feedback loop for user suggestions, ensure adaptability to the linguistic and cultural diversity of Southeast Asia. SEA survey was structured for the evaluation of the system, it comprised 100 respondents randomly selected from three different establishments to assess the system based on seven attributes of quality: functionality, performance, usability, reliability, security, maintainability, and compatibility. Results showed high marks across the board ranging from mean scores of 4.07 to 4.22 (Agree), with the biggest scores mostly given to functionality and compatibility, signifying the system can deliver the essential feature without neglecting adaptability in various devices. Reliability and sustainability would need further improvement, while usability, performance, security, and maintainability were rated high. In conclusion, SEA-Talk therefore achieves its desired target: providing a dependable, comprehensive translation platform in a Southeast Asian context. The ratings lend credence to the tool's importance in cross-cultural and linguistic communication. Important recommendations are made for improvements in offline facility, enhancement in languages covered, increased security, and sustained development for wider acceptability.

Date: 2025
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