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.
Welcome to Speaker Impedance. This website calculates the nominal impedance created with different combinations of wiring speakers together. Remember calculations are only to be used as a guide; in reality, the impedance will vary with frequency and more factors such as coil temperature come into play.
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
Every Noise at Once is an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 5,169 genre-shaped distinctions by Spotify as of 2021-01-15. The calibration is fuzzy, but in general down is more organic, up is more mechanical and electric; left is denser and more atmospheric, right is spikier and bouncier.
Musicmap attempts to provide the ultimate genealogy of popular music genres, including their relations and history. It is the result of more than seven years of research with over 200 listed sources and cross examination of many other visual genealogies. Its aim is to focus on the delicate balance between comprehensibility, accuracy and accessibility. In other words: the ideal genealogy is not only complete and correct, but also easy to understand despite its complexity. This is a utopian balance that can never be achieved but only approached. By choosing the right amount of genres, determining forms of hierarchy and analogy and ordering everything in a logical but authentic manner, a satisfactory balance can be obtained. Said balance is always the main subject of discussion in music genre genealogies and the capital reason why an absolute visual reference has been absent thus far (and probably always will be). Musicmap is a platform in search for the perfect balance of popular music genres to provide a powerful tool for educational means or a complementary framework in the field of music metadata and automatic taxonomy.
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.