Inspiration
I was thinking about the problem of source separation and was wondering if audio fingerprinting could solve it.
What it does
It takes in a mashup song and attempts to identify each song being used
How I built it
Lots and lots of Python audio input/output.
Challenges I ran into
I was originally going to use HPE on demand, but their Speech to Text kept giving me bad music. So I had to figure an alternative method.
Accomplishments that I'm proud of
Learning how to do FIR/IIR and effects in SciPy, also somehow doing the separation
What I learned
Above.
What's next for Mashup Smasher
Probably going to try and attach more ML techniques to it.
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