REAL-TIME ACCENT TRANSLATOR
Nallamothu Keerthi, CHETANA P SUTHAR, E LEKHANA · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
This paper introduces the "Real-Time Accent Translator," a lightweight and accessible web-based application that bridges the gap between multilingual communication and accent adaptation. Built on Flask, the system integrates Google Translate and Google Text-to-Speech (gTTS) APIs to provide seamless translation and speech synthesis. Users can input text in a source language, specify the target language, and optionally adjust accents for languages such as English. The application translates the text, synthesizes speech with the desired accent, and provides an audio output in real time. The architecture is designed for simplicity, leveraging third-party APIs to ensure rapid deployment and scalability without the need for extensive computational resources. This paper discusses the technical implementation, including API integration, RESTful communication, and real-time audio generation. Additionally, the potential use cases of the system are highlighted, including cross-cultural communication, language learning, and accessibility for non-native speakers.