Archive for category The Echo Nest

Link dump from the Amsterdam music hackday

Some of my favorite things from the AMS MHD

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Amsterdam Music Hack Day

The Amsterdam Music Hack Day is underway.  The Echo Nest is participating but due to some problems with actually getting there, we are participating virtually.    We needed someone to physically give our API presentation – Matt Ogle of Last.fm graciously offered to give it – so around 5AM this morning I had the surreal experience of watching via a  streaming webcam, employee #1 of Last.fm don an Echo Nest tee-shirt and talk about the Echo Nest APIs.  Surreal especially since many of our APIs overlap with Last.fm’s wonderful APIs – its kind of like seeing a Mercedes car salesman helping BMW meet their sales quota.  So many thanks to Matt – he’s a totally classy guy. He did such a great job that people tweeted that they thought the Echo Nest API presentation was one of their favorites of the music hack day.

Matt Ogle wearing an Echo Nest shirt presenting the Echo Nest API (photo by frenkie)

We are releasing a bunch of new stuff this weekend. So much stuff, in fact that it is hard to write about it all in one post, so I shall be posting in small doses.  Here’s what’s new from the Echo Nest:

So what is a Music Hack Day all about?  It’s the hacking!  This video gives you a taste:

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The Echo Nest Song API

This weekend at the Amsterdam Music Hack day we are releasing lots of new stuff. First of all, we opening up beta access to the next version of our APIs.  This version is an all new architecture – that I’m rather excited about. Some new features:
  • Performance – api method calls run faster – on average API methods are running 3X faster than the older version.
  • JSON Output – all of our methods now support JSON output in addition to XML.  This greatly simplifies writing client libraries for the Echo Nest
  • Nimble coding – with the new architecture it will be much easier for us to roll out new features – so expect to see new features added to the Echo Nest platform every month
  • No cruft – we are revisiting our APIs to try to eliminate inconsistencies, redundancies and unnecessary features to make them as clean as we can.

The beta version of our next generation APIs are here:  http://beta.developer.echonest.com/

The first significant new API we are adding is the Song API – this gives you all sorts of ways to search for and retrieve song level data.  With the song API you can do the following:

  • search for songs via  artist name, song title, and description. You can affect the results with constraints and sorts:
    • constrain the results by a number of factors including musical attributes like tempo, loudness, time signature and key, artist hotttnesss, location
    • sort – the results by any of the attributes
  • Find similar songs – find similar songs to  a seed song
  • Find profile – get all sorts of info about a song including audio, audio summary info, track data for different catalogs, song hottttnesss, artist_hotttnesss, artist_location, and detailed track analysis
  • Identify songs – works in conjunction with the ENMFP

There are lots of things you can do with this API. Here’s just a quick sample of the types of queries you can make:

Find the loudest thrash songs

song/search?sort=loudness-desc&description=thrash

Find indie songs for jogging

song/search?min_tempo=120&description=indie&max_tempo=125

Fetch the tempo of Hey Jude

search?title=hey+jude&bucket=audio_summary&artist=the+beatles

Fetch the track audio and analysis of Bad Romance

search?title=bad+romance&bucket=tracks&bucket=id:paulify&artist=lady+gaga

Find songs similar to Bad Romance

song/similar?id=SOAOBBG127D9789749

We have two clients that support the new beta version of the API:
  • jen-api – a java client
  • beta_pyechonest – a new branch of the venerable pyechonest library. Grab it from SVN with
svn checkout http://pyechonest.googlecode.com/svn/branches/ beta-pyechonest-read-only

I’ll be writing more about all of the new APIs real soon.   Access the beta Echo Nest APIs here:

http://beta.developer.echonest.com/

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What is that song?

One of the biggest problems faced by music application developers is song identification – that is – given an mp3 file, how can you accurately find the name of the song, album and artist?  There are some hints in the mp3 file – the file name and the ID3 tags contain metadata about the track – but anyone who has worked with this metadata knows that this data is notoriously hard to deal with.  The metadata is often missing, inconsistently formatted or just plain wrong.  The result of this difficulty is that music application developers spend an inordinate amount of time just dealing with song identification.

Here at the Echo Nest we want to make it easy for developers to create music applications so we really want to solve the music metadata problem once and for all.  That’s why we’ve created music fingerprinting technology. Today, we are starting to release it to the world.

The Echo Nest music fingerprinter takes a bit of music such as an MP3 and identifies the song based solely on the musical attributes of the song.  No matter how messy the metadata is, the fingerprinter can identify the song since it relies on the music to do the identification.  On his blog, Echo Nest co-founder Brian Whitman dives into the technical details of the Echo Nest Musical Fingerprinter.

This is not the first audio fingerprinter in the world, but we think our fingerprinter is  distinctive in several important ways:

  • Very fast – under a second to ID a track
  • Very accurate – uses Echo Nest music analysis technology at the core. (we hope to publish some data on ENMFP accuracy real soon)
  • Open Data – all of the mapping of fingerprints to songs is open data. Anyone can get the data
  • Open server – all of the server code is open – you can host your own FP server if you wish

We want to make sure that anyone who takes advantage of the EN Fingerprinter participates fully in the ENMFP ecosystem – and so it is licensed so that  anyone who uses the fingerprinter technology will share their FP/song mapping data with everyone. No walled gardens – if you benefit from the ENMFP you are also helping others that are using the ENMFP.

It is still early days with the fingerprinter – we are doing a soft release. If you want to experiment with the ENMFP and you are at the Amsterdam music hackday this weekend send an email to enmfp@echonest.com with your intended use case. We will get back to you ASAP with a link to libraries for Mac, Windows and Linux.

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Music Hack Days are awesome

Flickr photo by paulamarttila

There are now two Music Hack Days on the calendar for the next month:  Amsterdam on April 24th, 25th and San Francisco on May 15th, 16th.

The Echo Nest will be participating in both. We just love music hack days – the amount of creativity that gets packed into one room during a hack day is just amazing.  Plus it is a great way to meet developers face-to-face to see how they use are stuff.    Brian will be representing at the Amsterdam event (I think Brian really likes Amsterdam).  He’ll be showing off some new APIs that we are all really excited about – plus we’ll be giving our new API infrastructure a workout – everything will (hopefully) be faster, more reliable, better documented.

Right on the heals of the Amsterdam event is the San Francisco Hack Day.  It is being hosted at the Automattic Lounge on Pier 38 right in the city.  The event is filling up really fast – there’s lots of pent up demand for a hack day in SF – and the mention in Techcrunch didn’t hurt.  At the SF hack day if the stars align we’ll be releasing another new API feature – one that is perhaps the most requested feature of our APIs. Can’t wait.  Oh and the SF Music Hack Day is right between two other cool music events:  The Bay Area Computer Music Technology Group (BArCMuT) meetup on Thursday May 13,  and the SF Music Tech Summit on Monday May 17th.

Wondering what a music hack day is like?  Check out these photos: Flickr Slide show of Music Hack days past

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Which band has the hotttnesss?

Developer/musician Paul Barrett (aka echodeck) has created pop.ularity a nifty web-based music quiz based on last.fm and the Echo Nest APIs.  In the quiz you try to guess which band is hotter on the web. The quiz uses Last.fm plays, Last.fm listeners, Echo Nest Hottttnesss and Echo Nest familiarity to measure popularity for each band.

It’s a fun game – give it a whirl!     http://pop.ularity.co.uk/

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Lady Gaga meets Edward Tufte

In his spare time, Echo Nest developer Reid Draper built hotttnesss.com – a neat web app that shows the top 50 hotttest artists (according to the Echo Nest get_top_hottt_artists) along with sparklines showing the historical hotttnesss for the last week. Reid used the nifty jquery sparklines plugin to make it happen. Mouse over an artist name to get links to the Last.fm and Spotify pages for the artist so you can find out what the big deal is about Broken Bells or lyaz.

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22 students + 10 days + Echo Nest == Awesome!

The students in Mark Chang‘s mobile development course at Olin college  just completed the mid-semester #mobdev contest. This was a 10-day sprint to create a compelling product prototype on the Android platform that used the Echo Nest APIs. Teams were judged on the business model,  design, and implementation of their prototype. As Mark puts it: Substance, Style and a convincing way to make money.

Beat Counter

In 10 days, these students built 7 awesome apps – each with a solid business model behind it.  Here’s a summary:

  • Beat Counter –  A music listening application made especially for choreographers.
  • Music Trails –  An application that helps listeners freely explore new music by visually navigating a web of connected artists.
  • DJMixr – An application that lets people collectively play music. This is the winning app!
  • BeatBlocker – a synchronized music game for the casual gaming market
  • PacePlayer – an application for casual runners that enjoy listening to music
  • Bandroid – An application for finding local concerts
  • Driving Beat – an application that was so awesome that it is now a state secret.

I hope to see all of these apps in the Android marketplace very soon. Special thanks to Debcha for connecting The Echo Nest with mobdev

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Bad Romance – the memento edition

At SXSW I  gave a talk about how computers can help make remixing music easier.  For the talk I created a few fun remixes.  Here’s one of my favorites.  It’s  a beat-reversed version of Lady Gaga’s Bad Romance.   The code to create it is here: vreverse.py

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Unofficial Artist Guide to SXSW

I’m excited! Next week I travel to Austin for a week long computer+music geek-fest at SXSW.  A big part of SXSW is the music – there are nearly 2,000 different artists playing at SXSW this year. But that presents a problem – there are so many bands going to SXSW (many I’ve never heard of) that I find it very hard to figure out which bands I should go and see.  I need a tool to help me find sift through all of the artists – a tool that will help me decide which artists I should add to my schedule and which ones I should skip.   I’m not the only one who was daunted by the large artist list.  Taylor McKnight, founder of SCHED*, was thinking the same thing.  He wanted to give his users a better way to plan their time at SXSW.  And so over a couple of weekends Taylor built (with a little backend support from us)  The Unofficial Artist Discovery Guide to SXSW.

The Unofficial Artist Discovery Guide to SXSW is a tool that allows you to explore the many artists attending this year’s SXSW.  It lets you search for artists,  browse popularity, music style, ‘buzzworthiness’,  or similarity to your favorite artists – and it will make recommendations for you based on your music taste (using your Last.fm, Sched* or Hype Machine accounts) .  The Artist Guide supplies enough context (bios, images, music, tag clouds, links) to help you decide if you might like an artist.

Here’s the guide:

Here’s a quick tour of some of the things you can do with the guide.  First off, you can Search for artists by name, genre/tag or location. This helps you find music when you know what you are looking for.

However, you may not always be sure what you are looking for – that’s where you use Discover. This gives you recommendations based on the music you already like.  Type in the name of a few artists (even artists that are not playing at SXSW) or your SCHED*, Hype Machine or Last.fm user name, and ‘Discover’ will give you a set of recommendations for SXSW artists based on your music taste.  For example, I’ve been listening to Charlotte Gainsbourg lately so I can use the artist guide to help me find SXSW artists that I might like:

If I see an artist that looks interesting I can drill down and get more info about the artist:

From here I can read the artist bio, listen to some audio, explore other similar SXSW artists or add the event to my SCHED* schedule.

I use Last.fm quite a bit, so I can enter my Last.fm name and get SXSW recommendations based upon my Last.fm top artists. The artist guide tries to mix things up a little bit so if I don’t like the recommendations I see, I can just ask again and I can get a different set. Here are some recommendations based on my recent listening at Last.fm:

If you’ve been using the wonderful SCHED* to keep track of your SXSW calendar you can use the guide to get recommendations based on artists that you’ve already added to your SXSW calendar.

In addition to search and discovery, the guide gives you a number of different ways to browse the SXSW Artist space.  You can browse by ‘buzzworthy’ artists – these are artists that are getting the most buzz on the web:

Or the most well-known artists:

You can browse by the style of music via a tag cloud:

And by venue:

Building the guide was pretty straightforward. Taylor used the Echo Nest APIs to get the detailed artist data such as familiarity, popularity, artist bios, links, images, tags and audio. The only data that was not available at the Echo Nest was the venue and schedule info which was  provided by Arkadiy (one of Taylor’s colleagues).  Even though SXSW artists can be extremely long tail (some don’t even have Myspace pages),  the Echo Nest was able to provide really good coverage for these sets (There was coverage for over 95% of the artists).     Still there are a few gaps and I suspect there may be a few errors in the data (my favorite wrong image is for the band Abe Vigoda).   If you are in a band that is going to SXSW and you see that we have some of your info wrong, send me an email (paul@echonest.com) and I’ll make it right.

We are excited to see the this Artist Discovery guide built on top of the Echo Nest.  It’s a great showcase for the Echo Nest developer platform and working with Taylor was great.  He’s one of these hyper-creative, energetic types – smart, gets things done and full of new ideas.   Taylor may be adding  a few more features to the guide before SXSW, so stay tuned and we’ll keep you posted on new developments.

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