The Architecture of Speech-to-Speech Translator for Mobile Conversation

With competencies and the results of the engineering of natural language processing technology owned by BPPT since 1987, BPPT develops an English-Bahasa Indonesia speech-to-speech translation system (S2ST). In this paper, we propose an architecture of speech-to-speech translation system for Android-based mobile conversation using separate mobile devices for each language. This architecture applies three leading technologies, namely: WebSocket, REST, and JSON. The system utilizes a two-way communication protocol between two users and a simple voice activation detector that can detect a boundary of user's utterance.