Which band has the hotttnesss?
Posted by Paul in Music, The Echo Nest on April 9, 2010
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/
Can you judge an album by its cover?
Album art has always been a big part of music. It is designed to catch your eye in a record store, and also perhaps to give you a hint as to what kind of music is inside. Music Information Retrieval scientists Jānis Lībeks and Douglas Turnbull from Swathmore are interested in learning more about how much information an album cover can give you about the music. They are conducting a simple study – they present the participants with a set of album art and the participants try to guess the genre of the artist based only upon what they see. It’s the genre identification task that uses album art as the feature set.
Anyone can participate in the study, it takes about 5 to 10 minutes – and its fun to look at an album cover and try to guess what’s inside. I’m looking forward to seeing the results of the study when they publish.
Spying on how we read
Posted by Paul in data, Music, recommendation on March 26, 2010
[tweetmeme source=”plamere” only_single=false] I’ve been reading all my books lately using Kindle for iPhone. It is a great way to read – and having a library of books in my pocket at all times means I’m never without a book. One feature of the Kindle software is called Whispersync. It keeps track of where you are in a book so that if you switch devices (from an iPhone to a Kindle or an iPad or desktop), you can pick up exactly where you left off. Kindle also stores any bookmarks, notes, highlights, or similar markings you make in the cloud so they can be shared across devices. Whispersync is a useful feature for readers, but it is also a goldmine of data for Amazon. With Whispersync data from millions of Kindle readers Amazon can learn not just what we are reading but how we are reading. In brick-and-mortar bookstore days, the only thing a bookseller, author or publisher could really know about a book was how many copies it sold. But now with the Whispersync Amazon can get learn all sorts of things about how we are reading. With the insights that they gain from this data, they will, no doubt, find better ways to help people find the books they like to read.
I hope Amazon aggregates their Whispersync data and give us some Last.fm-style charts about how people are reading. Some charts I’d like to see:
- Most Abandoned – the books and/or authors that are most frequently left unfinished. What book is the most abandoned book of all time? (My money is on ‘A Brief History of Time’) A related metric – for any particular book where is it most frequently abandoned? (I’ve heard of dozens of people who never got past ‘The Council of Elrond’ chapter in LOTR).
- Pageturner – the top books ordered by average number of words read per reading session. Does the average Harry Potter fan read more of the book in one sitting than the average Twilight fan?
- Burning the midnight oil – books that keep people up late at night.
- Read Speed – which books/authors/genres have the lowest word-per-minute average reading rate? Do readers of Glenn Beck read faster or slower than readers of Jon Stewart?
- Most Re-read – which books are read over and over again? A related metric – which are the most re-read passages? Is it when Frodo claims the ring, or when Bella almost gets hit by a car?
- Mystery cheats – which books have their last chapter read before other chapters.
- Valuable reference – which books are not read in order, but are visited very frequently? (I’ve not read my Python in a nutshell book from cover to cover, but I visit it almost every day).
- Biggest Slogs – the books that take the longest to read.
- Back to the start – Books that are most frequently re-read immediately after they are finished.
- Page shufflers – books that most often send their readers to the glossary, dictionary, map or the elaborate family tree. (xkcd offers some insights)
- Trophy Books – books that are most frequently purchased, but never actually read.
- Dishonest rater – books that most frequently rated highly by readers who never actually finished reading the book
- Most efficient language – the average time to read books by language. Do native Italians read ‘Il nome della rosa‘ faster than native English speakers can read ‘The name of the rose‘?
- Most attempts – which books are restarted most frequently? (It took me 4 attempts to get through Cryptonomicon, but when I did I really enjoyed it).
- A turn for the worse – which books are most frequently abandoned in the last third of the book? These are the books that go bad.
- Never at night – books that are read less in the dark than others.
- Entertainment value – the books with the lowest overall cost per hour of reading (including all re-reads)
Whispersync is to books as the audioscrobbler is to music. It is an implicit way to track what you are really paying attention to. The data from Whispersync will give us new insights into how people really read books. A chart that shows that the most abandoned author is James Patterson may steer readers away from Patterson and toward books by better authors. I’d rather not turn to the New York Times Best Seller list to decide what to read. I want to see the Amazon Most Frequently Finished book list instead.
SoundBite for Songbird
Posted by Paul in Music, music information retrieval, research, visualization on March 23, 2010
Steve Lloyd of Queen Mary University has released SongBite for Songbird. (Update – if the link is offline, and you are interested in trying SoundBite just email soundbite@repeatingbeats.com ). SongBite is a visual music explorer that uses music similarity to enable network-based music navigation and to create automatic “sounds like” playlists.
Here’s a video that shows SoundBite in action:
It’s a pretty neat plugin for Songbird. It’s great to see yet another project from the Music Information Retrieval community go mainstream.
Lady Gaga meets Edward Tufte
Posted by Paul in Music, The Echo Nest, visualization, web services on March 22, 2010
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.
22 students + 10 days + Echo Nest == Awesome!
Posted by Paul in Music, startup, The Echo Nest on March 19, 2010
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.
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
Bad Romance – the memento edition
Posted by Paul in code, events, remix, The Echo Nest on March 18, 2010
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
How Music Information Retrieval can help you get the girl
Posted by Paul in music information retrieval, startup on March 17, 2010
Parag Chordia from Georgia Tech and his colleagues have spun out a music-tech company called khush. Khush makes cutting-edge artificial intelligence music applications. Their first app is LaDiDa – which is an auto-accompaniment application. You sing a capella into your iPhone and Ladida plays it back with a full accompaniment of music …. something like Songsmith (but with good music).
I had a chance to chat with Parag, along with Khush CEO Perna Gupta (she’s the dream girl in the video, btw), and Alex Rae (programmer+music geek). These folks are fired up about khush and LaDiDa. It’s great to see another innovative company come out of the MIR world. I think they will be going places.
Unofficial Artist Guide to SXSW
Posted by Paul in events, Music, recommendation, The Echo Nest on March 4, 2010
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.
NodeJS and DonkDJ
Brian points me to RF Watson’s (creator of DonkDj) interesting post about how he’s using NodeJS to solve concurrency problems in his audio-uploading web apps. Worth a read.



















