Instant Transcription and Translation Tool using OpenAI?s Whisper ASR Model

Akarsh Ghale, Janaki .K, Devaraj Verma .C

Abstract: In the fast-paced world of journalism, translation is becoming increasingly important in order to communicate news & events across the internet. However, traditional translation methods can often be slow and inaccurate, leading to potential miscommunication. With the help of new technology, such as machine translation, translations can be made more quickly and accurately. This is important in order to ensure that the information being communicated is correct and can be understood by the intended audience and also to avoid any possibilities of spreading misinformation that is becoming increasingly rampant during the digital age. As a result, we propose architecture to support the instant & accessible translation solution using OpenAI's state-of-the-art Automatic Speech Recognition and Translation AI model Whisper.

Keywords: Translation, Transcription, Whisper, OpenAI, Automatic Speech Recognition