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a.k.a.

Realtime Audio Classification for Musicians

(As an homage to Tensorflow for Poets.)

Overview

In this workshop, we will teach you how to design audio classifiers using neural nets. We will guide you through the steps of collecting and organizing data, generating spectrographs, training a network, and the using that network to detect audio in realtime. We will use Jupyter notebooks, Python3, pyTorch, and Librosa to play with neural nets that can detect different music and different audio sources.

Provisional Workshop Schedule

Time	Monday	Tuesdsay	Wednesday	Thursday	Friday
9am	Introductions	Review/Q&A	Review/Q&A	Review/Q&A	Review/Q&A
10-noon	Neural Nets	Collecting & Analyzing Sounds	Designing Interaction	Generative Models	Project time
noon-1:30	Lunch	Lunch	Lunch	Lunch	Lunch
1:30-4:30	Cats & Dogs Lab	Stanford Sounds Dataset	Urban Sounds Dataset	Final Project	Project Time/ Show and Tell
4:30-5pm	Cleanup	Cleanup	Cleanup	Cleanup	Happy Hour

Labs

Lab 0. Setting up

Lab 1. Organizing Data for Learning

Lab 2. Pictures of Sounds