In this project, we created Deep Learning model which can able to detect background acoustics it will convert the audio into text, and print it as captions below the video/audio

For this project, we created a bi-directional transformer which can is able to understand the audio files as an encoder and convert this audio file data into mid data, which can be decoded by the decoder as text.

This project can be useful in many different ways to different types of people, like it can be helpful for deaf people to get to know about the background acoustics using the captions or it can help the government to investigate any audio files to get information on the background noises and many other things.