Inspiration
We couldn't hear others while interacting with other's in the event! So thought we should do something about it.
What it does
It helps to Hear people in a profound way!
How we built it
The code applies a short-time Fourier transform to decompose the audio into its various frequency components. It then detects the frequency patterns that correspond to individual voices. By recognizing these patterns, the code isolates and distinguishes each voice in the audio, allowing the machine learning model being used to separate voices and maybe identify which voice to focus on
Challenges we ran into
Research and While Development It was difficult to find the patterns in voices, so we switched to using machine learning to identify those patterns.
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