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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	Tuesday	Wednesday	Thursday	Friday
9am	Introductions	Review/Q&A	Review/Q&A	Review/Q&A	Review/Q&A
10-noon	Neural Nets	Collecting & Analyzing Sounds, Introduce Final Project	Group-making	Applications of AI for Sound	Project time
noon-1:30	Lunch	Lunch	Lunch	Lunch	Lunch
1:30-3:30	Lab Setup	Home Sounds Dataset Activity	Designing Interaction	Final Project	Project Time/ Show and Tell
3:30-4pm	Cats & Dogs Lab	Home Sounds Dataset Activity	Wizard Lab	Final Project	Happy Hour

Labs

Lab 0. Setting up

Lab 1. Cats and Dogs--binary classification

Lab 2. Making the Home Sounds Dataset

Lab 3. Wizard Lab

Lecture Slides

Day 1 slides

Day 2 slides: More on NNs

Collecting and Analyzing Sounds

Day 4 slides: Day4_presentation