Audio Classification
A machine learning model to process and classify audio signals using Neural Networks.
What we built
and why.
A machine learning model to process and classify audio signals using Neural Networks.
A audio processing project engineered end-to-end, from discovery and design through production deployment and post-launch iteration. Built with a senior team, shipped on a tight timeline, and measured against the outcomes that mattered to Academic Project.
Classifying non-textual unstructured audio data.
Extracted MFCCs and fed them into a Neural Network built with PyTorch.
Highlighted ability to apply deep learning to signal processing.
The product,
end to end.
9screens from the shipped build. Every flow, every state. These aren’t renders, they’re production.
Built with.
Got a project that
needs this kind of build?
Tell us the problem. We’ll tell you if it’s a 2-week sprint or a 2-month platform, honestly, in the first call.
