Analyzes music and finds musical key.
Musicboard is a social platform that allows you to keep track of all the music you listen to and grow your passion for music with friends. Write reviews, rate albums, and compile lists in music’s fastest growing community.
What is Chrome Music Lab?
Chrome Music Lab is a website that makes learning music more accessible through fun, hands-on experiments.
What can it be used for?
Many teachers have been using Chrome Music Lab as a tool in their classrooms to explore music and its connections to science, math, art, and more. They’ve been combining it with dance and live instruments. Here’s a collection of some uses we’ve found on Twitter.
Can I use it to make my own songs?
Yes. Check out the Song Maker experiment, which lets you make and share your own songs.
Do I need to make an account?
Nope. Just open any experiment and start playing.
How were these built?
All our experiments are all built with freely accessible web technology such as Web Audio API, WebMIDI, Tone.js, and more. These tools make it easier for coders to build new interactive music experiences. You can get the open-source code to lots of these experiments here on Github.
What devices do these work on?
You can play with these experiments across devices – phones, tablets, laptops – just by opening the site on a web browser such as Chrome.
Easy to Use ~ A free and easy tool for creating music. Bosca is designed for beginners and takes less than five minutes to learn, and comes with a quick built in tutorial to walk you through everything, step by step.
Scales and Chords ~ Bosca supports lots of different scales and chords, so even if you’ve never composed music before, it’s really easy to get something that sounds good straight away.
Instruments ~ No messing around getting instruments to work! Bosca comes with over a hundred presets, including MIDI and Chiptune instruments.
It’s Free ~ Bosca Ceoil is completely free, and open sourced! Ready to make music? Try it right now in your browser: Online version
Audio visualization usually relies on hand-crafted features, like intensity, timbre or pitch. These metrics are defined by humans and are biased towards our cultural representation of sound. In this project, we have trained a Neural Net to generate these features directly from spectrograms, in an unsupervised way. We thus get rid of this bias and hope the resulting visualizations can help us perceive music in different ways.
Create music with both instruments for free online at 808303.studio A website from Roland, Yuri Suzuki and The London Design Museum.
A speaker measurement visualization, analysis and comparison tool.