Visualizing Music with p5.js
This session is for anyone who would like to explore music, visuals and creative coding for the web. We'll demonstrate types of data we can get from digital signal processing using interactive sketches in p5.js and the p5.sound library that builds upon the Web Audio API. We'll explore various methods to map this data onto meaningful visuals that enhance our experience of music.
Hello Amplitude | Source Code
Amplitude over time
Simple Beat Detection
Draw Full Waveform w/ Playhead
Time Domain (Oscilloscope) | Source Code
##2. Frequency FFT - Fast Fourier Transform
FFT Spectrum Drag, Drop 'n Analyze | Source Code
FFT Particle System | Source Code
Scaling the FFT
FFT Scale by Neighbors
FFT Scale by 1/3 Octave
FFT Unknown Pleasures
FFT Particle System Scaled / Seek (Fireworks)
FFT Peak Detect | Source Code
##3. Pitch autocorrelation in the time domain to detect fundamental frequency
Autocorrelate Time Domain | Source Code
Autocorrelation Circle | Source Code
Pitch Track | Source Code
#4. Musical Timing sync music to timestamped lyrics
Display Lyrics | Source Code
Visualizaitons with the Spotify Audio Analysis API (formerly Echo Nest API)
Pre-rendered Analysis (via Echo Nest - Beat + Pitch) | Source Code
Pre-rendered Analysis (via Spotify) - Pitch Segment 1 | Source Code
Participants may use whatever tools they wish, but the demos in this repo use the following libraries:
p5.sound.js is an addon library that brings the Processing approach to the Web Audio API.
p5.dom.js is an addon library that helps us manipulate the DOM.
- Download this github repo, and build off of the empty example sketch in the template folder. It links to the libraries.
- Running p5.js on a local server
- You'll need a text editor. Some options:
- Getting Started: Your First Sketch
p5.sound Classes That We'll Use For Music Visualizations:
p5.AudioIn - microphone! documentation | source code
p5.SoundFile - load and play .mp3 / .ogg files. documentation | source code
loadsound()creates a SoundFile using a Web Audio API buffer. Use during
preload(), or with a callback, or with drag and drop.
p5.PeakDetect - detect beats and/or onsets within a frequency range documentation }| source code
p5.Amplitude - Analyze volume (amplitude). documentation | source code
.getLevel()returns a Root Mean Square (RMS) amplitude reading, between 0.0 and 1.0, usually peaking at 0.5
p5.FFT - Analyze amplitude over time / frequency. documentation | source code
.analyze()returns amplitude readings from 0-255 in the frequency domain.
.waveform()returns amplitude readings from -1 to 1 in the time domain. demo | source
Music included in the demos/repo:
- Yacht - Summer Song (Instrumental) - See Mystery Lights Instrumentals Creative Commons BY-NC-SA
- Broke For Free - As Colorful As Ever - Layers - Creative Commons BY-NC
- Alaclair Ensemble - Twit Journalist - This Is America - Creative Commons BY-SA
- Peter Johnston - La ere gymnopedie (Erik Satie) - Best of Breitband Vol1
- Inara George - Q - Sargent Singles Vol 1 Creative Commons BY-NC-SA
- For more Creative Commons resources, check out the Free Music Archive's Guide to Online Audio Resources
Dig Deeper into Web Audio Music Visualization...
- Pitch Detection - Web Audio Demo
- Another Approach to Beat Detection Using Web Audio API
- Making Audio Reactive Visuals w/ Web Audio API
- Marius Watz' Sound As Data workshop with Processing // blog post
- Echo Nest Remix API can get you beats, tatums, regular API has more data about music/artists/songs.
- p5.gibber Rapid music sequencing and synthesis. Also its own live coding environment.
- Tone.js is a JS library for composing interactive music.
- dancer.js is a JS library for audio visualizations.
- heartbeat.js is a JS library for working with MIDI.
Deeper into DSP
Music Visualization Inspiration...
- Optical Poem, Oskar Fischinger's 1938 visualization of Franz Liszt's "2nd Hungarian Rhapsody"
- Piano Phase (Alex Chen)
- George & Jonathan
- dennis.video, generative video by George ^
- Stephen Malinowski's Music Animation Machine
- Artikulation (Rainer Wehinger / Gyorgy Ligeti)
- John Whitney
- Mark Fell - Skydancer
- Golan Levin, Zach Lieberman, Jaap Blonk, Joan La Barbara (w/ autocorrelation)
- Oscillator Art (TK Broderick)
- Music Makes You Travel (makio135)
- Ryoji Ikeda
- Listening to the Data
- Listen to Wikipedia
- Metadata - Echo Nest's Map of Musical Styles
- Making Music with Tennis Data
- Sonifying the Flocking Algorithm (@b2renger)