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Yes! It was "Infinite Jukebox," created by Paul Lamere … it was awesome because it would analyse a track, then visualize its "components" and you could watch as
by gffrd 3y ago
Yes! It was "Infinite Jukebox," created by Paul Lamere … it was awesome because it would analyse a track, then visualize its "components" and you could watch as the new "infinite" track looped back on itself and jumped from point-to-point in the original track to create an everlasting one.
He created some excellent products from the Rdio API, and later Spotify … and I believe his analysis engine ended up being the foundation upon which Spotify's _play more tracks like these_ capability is based.
Looks like he's moved over to publish on Substack—there's a recent(ish) post reflecting on 10 years of Infinite Jukebox: https://musicmachinery.substack.com/p/the-infinite-jukebox-10-years-later https://musicmachinery.substack.com/p/the-infinite-jukebox-1...
- rzzzt 3y agoThe Echo Nest had lots of cool toys: https://en.wikipedia.org/wiki/The_Echo_Nest https://en.wikipedia.org/wiki/The_Echo_Nest Edit: I remember a multitrack file format from the past that allowed following both a composer-defined path as well as random/infinite ordering of sequences, it was called digimpro: https://www.kvraudio.com/forum/viewtopic.php?t=102403 https://www.kvraudio.com/forum/viewtopic.php?t=102403
- jaflo 3y agoThe Echo Nest was really cool... they got bought my Spotify and some of the Echo Nest APIs made it into Spotify I believe: https://developer.spotify.com/documentation/web-api/reference/get-audio-analysis https://developer.spotify.com/documentation/web-api/referenc...
- gffrd 3y agoEcho Nest! That's right. Did I over-attribute the above to Paul? I didn't realize he wasn't a founder.
- rzzzt 3y agoProbably not, in the 10 years retrospect post he writes that he built it :) In an Echo Nest company blog post he is referred to as "The Echo Nest director of developer platform". I have no first-hand information however.
- DonHopkins 3y agoI was working on some music retrieval stuff in 2010, so I joined the EchoNest developer program and played around with their web apis that let you upload music and download an analysis that you could use in all kinds of cool ways. They had an SDK with some great demos and example code. I discussed it with Eric Swenson and Paul Lamere, and had the chance to hang out with Paul Lamere and Ben Fields at ISMIR 2010 (the International Society for Music Information Retrieval conference) in Utrecht, where they gave a tutorial about playlisting: https://ismir2010.ismir.net/program/tutorials/index.html#tutorial4 https://ismir2010.ismir.net/program/tutorials/index.html#tut... https://musicmachinery.com/2010/08/06/finding-a-path-through-the-jukebox-the-playlist-tutorial/ https://musicmachinery.com/2010/08/06/finding-a-path-through... >Tutorial 4: Finding A Path Through The Jukebox – The Playlist Tutorial The simple playlist, in its many forms – from the radio show, to the album, to the mixtape has long been a part of how people discover, listen to and share music. As the world of online music grows, the playlist is once again becoming a central tool to help listeners successfully experience music. Further, the playlist is increasingly a vehicle for recommendation and discovery of new or unknown music. More and more, commercial music services such as Pandora, Last.fm, iTunes and Spotify rely on the playlist to improve the listening experience. In this tutorial we look at the state of the art in playlisting. We present a brief history of the playlist, provide an overview of the different types of playlists and take an in-depth look at the state-of-the-art in automatic playlist generation including commercial and academic systems. We explore methods of evaluating playlists and ways that MIR techniques can be used to improve playlists. Our tutorial concludes with a discussion of what the future may hold for playlists and playlist generation/construction. The EchoNest SDK was hosted on google code but this seems to be where it lives now: https://github.com/echonest/remix https://github.com/echonest/remix https://echonest.github.io/remix/ https://echonest.github.io/remix/ Examples: https://github.com/echonest/remix/tree/master/examples https://github.com/echonest/remix/tree/master/examples More Cowbell, just 113 lines of Python code: https://github.com/echonest/remix/blob/master/examples/cowbell/cowbell.py https://github.com/echonest/remix/blob/master/examples/cowbe... EchoNest's technology is fantastic, and it's no surprise Spotify bought them and put it to good use. Here's an email I wrote about it when I discovered it in June 2010 (linkes updated to archive.org): Subject: Just found and assimilated a Python music analysis library! This is great stuff! https://web.archive.org/web/20100623053057/http://the.echonest.com/ https://web.archive.org/web/20100623053057/http://the.echone... Perhaps you have heard of some of the cool recent demos by EchoNest, which have been covered by boingboing/reddit/etc, that use their music analysis library (and are implemented in just a few lines of Python on top of their modules): More Cowbell -- Adds cowbell or Christopher Walkin to music, on the beat: https://web.archive.org/web/20100606100215/http://morecowbell.dj/ https://web.archive.org/web/20100606100215/http://morecowbel... Swinger: The Swinger is a bit of python code that takes any song and makes it swing. It does this be taking each beat and time-stretching the first half of each beat while time-shrinking the second half. http://musicmachinery.com/2010/05/21/the-swinger/ http://musicmachinery.com/2010/05/21/the-swinger/ Lots of other demos of apps developed with their technology, on their web site: https://web.archive.org/web/20101101000000*/http://the.echonest.com/platform/showcase/ https://web.archive.org/web/20101101000000*/http://the.echon... They have an online music analysis and fingerprinting server, to which you can upload an audio file, and download an analysis, look up an identifier (for various services including lastfm, MusicBrainz, etc), and download metadata about the song. It's all packed up in a nice Python library, which includes a module for uploading and analyzing songs, audio processing, pitch shifting, time warping, etc. https://web.archive.org/web/20100201151826/http://lindsay.at/work/remix/overview.html https://web.archive.org/web/20100201151826/http://lindsay.at... SongBird music visualizer that uses the EchoNest API: https://web.archive.org/web/20101023215452/http://runningwithdata.tumblr.com/ https://web.archive.org/web/20101023215452/http://runningwit... I applied for an account, got an API key, installed the software, read over it all to learn how it works, and ran some of the demos. It works great, as advertised! This will be really useful for generating dynamic race tracks, synchronized music videos, and stuff like that! -Don
- somishere 3y agoStill have my echo nest tshirt. Pull it out on special occasions :)
- deleted 3y ago[deleted]
- rahimnathwani 3y agoHowever, that wasn’t the end of the Infinite Jukebox. An enterprising developer: Izzy Dahanela made her own hack on top of mine. To make it work without using uploaded content, she matches up the Echo Nest / Spotify music analysis with the corresponding song on YouTube. She hosts this at eternalbox.dev. It runs just as well as it ever did, 10 years later.
- rob74 3y agounfortunately at some point between November 2022 and today it stopped doing that, currently eternalbox.dev returns a gateway timeout. The source is still available at https://github.com/UnderMybrella/EternalJukebox https://github.com/UnderMybrella/EternalJukebox, and it sounds like you can get it to run locally relatively easily (?)
- JoshTriplett 3y agoYeah, Infinite Jukebox works surprisingly well, and it's fun to manually tweak some of the probabilistic looping points to create something fun.