This week, I finished implementing the audio reconstruction pipeline which allows us to listen to the audio being extracted by the SDFT bins.
As a reminder, my goal was to take an original audio of someones voice (see first audio sample below), and the extract the frequencies present in a user’s voice that correspond to the frequencies of piano keys. However, we’d have no idea if we’re extracting enough information by only using the power present at the piano key frequencies — therefore we needed to somehow reconstruct an audio file using the frequencies we picked up.
The first image is the original audio, the second image uses the exponential function y=Ae^((-0.001)x), and the third image uses the exponential decay function y=Ae^((-0.0001)x). Below each image is it’s corresponding audio.
Please lower you’re computer volume before playing the following recordings, they are a bit choppy.
Original Audio
Reconstructed Audio r[n] using Decay y[n] = e^((-0.001)x)
Reconstructed Audio r[n] using Decay y[n]=e^((-0.0001)x)
