##visualizing audio in D3 + transforming raw audio signals
This started at Spotify's Music Hackathon in April 2016 with two of my friends. The purpose of this project was to play around with JavaScript Web Audio API and to find appropriate methods to convert raw audio signals from FFT to human-compatible levels. This led us to experiment with Mel frequency cepstral coefficients (an algo commonly used for speech analysis tasks). To see the differences between the raw mapping of sound and MFCC see the visuals below.
For more details on the MFCC implementation, find the code here.
- [MFCC sound transformation spectorgram] (https://dorajam.github.io/Voice-detection/index.html)
- [JS WebAudio API visualization] (https://dorajam.github.io/WebAudio/index.html)
- D3 music visualization - bubbles
- [D3 music visualization - bars] (https://dorajam.github.io/WebAudio/d3Lines.html)