Music Discovery Deathmatch at SXSW

Tomorrow (Tuesday) at 11:30 AM, Anthony Volodkin (creator of the Hype Machine) and I will go head-to-head for 60 minutes in front of a live (and probably hostile crowd) at SXSW for a panel called “Help! My iPod thinks I’m emo” .   Anthony and I disagree about many things related to  music discovery and recommendation but we do agree on one thing.  Current music recommendation is mostly crap.  In this session, I’ll be talking about music discovery innovation coming from the researchers, while Anthony will be talking about the new ideas coming from those in the front-lines – the next generation music startups.  We have two very different perspectives on the future of music discovery. This will be fun.

4 Comments

The Tagatune Dataset

Edith L.M. Law has just released the long-awaited Tagatune Dataset.

From the README:

The Tagatune dataset consist of 31383 music clips that are 29 seconds long, created from songs downloadable from Magnatune.com. The genres include classical, new age, electronica, rock, pop, world, jazz, blues, metal, punk etc. The dataset is optimized for training machine learning algorithms — i.e. it includes tags that are associated with more than fifty songs, and each song is associated with a tag only if that tag has been generated by more than two players independently.

The data is collected from a two-player online game called Tagatune, deployed on the GWAP.com game portal. In this game, two players are given either the same song or different songs, and are asked to enter descriptions appropriate for their given song. After reviewing each other’s descriptions, the players then guess whether they are given the same song or not.

This is great data, useful for all sorts of things,  especially research around autotagging and query-by-description.  It is quite complimentary to a dataset that we are about to release from the Echo Nest (stay tuned for that).

1 Comment

On the ferry

I’m on the ferry between Vermont and upstate NY blogging with my iphone on my way to picking up my son from school for his spring break. I was able to use the 4 hour drive here to practice my sxsw talk: “help! My iPod thinks I’m emo”.

Here’s a shot out the window. There’s still ice on the lake. I suspect there will be less ice in Austin TX.

,

Leave a comment

128kbs or 320 kbs …

… only your mp3 encoder knows for sure.

Take the test at mp3ornot.com to see if you can tell the difference between an MP3 encoded at 128KBS and one encoded at 320kbs.  I couldn’t tell the difference (but I was listening via my  laptop speakers).  I hope the author will post statistics on how many people could tell.

10 Comments

A little more music in Davis square today

I like to think of The Echo Nest as the musical center of Davis Square in Somerville. However, today I think the musical center of mass is shifting slightly north and west (by about 100 yards) –  to accommodate the arrival of U2.

Here’s the map. Point C is the Echo Nest, and Point A is the Somerville theater  where the U2 concert will be held.

davismap

Here’s a photo from about 10:30 AM this morning … the satellite trucks are already in place:

photo-1

,

1 Comment

A wintry morning in the nest

photo

,

2 Comments

The ultimate Spotify blog

SpotifyIf you use Spotify, you should check out The Pansentient League, where blogger Jer White blogs about all things spotify.   For instance, Jer recently compared 10 different Spotify playlist sites listing their pluses and minuses. He’s also maintaing a complete list of Spotify Resources.  Pansentient is a pretty handy site.

2 Comments

More on click tracks …

I’ve just been astounded by the number of and quality of the comments that I’ve received on my recent ‘searching for click track’ posts. I’ve learned a lot about modern music production, drumming, the power of Waxy, Slashdot, Reddit, Stumbleupon, Metafilter and BoingBoing and a bit more about python. I was surprised and heartened by the fact that even those who thought I was wrong, or thought that my analysis was off beat (snicker),  offered their criticism in a very civil fashion – is this really the Internet?

Many have suggested other drummers to analyze and I’ve taken a quick look at some but I haven’t had time to do anything (I’ve got this SXSW talk to prepare, plus my regular job to do as well, sigh). Luckily enough, some others have already started to do some analyses. I shall try to post the analysis that people add to the comments or send to me here, so we can build a nice directory of click plots for various drummers.

Rush – The Enemy Within

Plot by Arren Lex

It looks to me  like Neil Pert is using a click track on this song.

Rush - The Enemy within

Rush - The Enemy within

Elton John – A word in spanish

Plot by Arren Lex

Looks like a click track

Elton John - A Word In Spanish

Elton John - A Word In Spanish

AC / DC – Highway to hell

Plot by Arren Lex

Looks like no click track for Phil Rudd.

AC / DC Highway to hell

2 Comments

Roundtrip tagging

Over the last 5 years, Last.fm has built an incredible database of social tags around music.  They have collected millions of short text descriptions of artists, albums and tracks.  These tags are a great way to explore for new music, and Last.fm exploits these tags on their site to great effect.  But what if you want to use the tags to help you play music from your own collection?  Until now you were out of luck – you had to resort to the iTunes style of exploring your personal music collection – resulting in lots of playlists from artists in proper alphabetical order but with no musical cohesiveness.  Now, Last.fm has just released a prototype, called Boffin  that allows you to use the great body of last.fm social tags to play music in your own collection.  The program is called Boffin – I took it for  a quick spin and I really like it.

When you run Boffin for the first time, it enrolls your music collection.  For me, with  about 10K tracks, this took less than 5 minutes. During this time, Boffin is ‘phoning home’ to last.fm to get the tags that have been applied to your artists and tracks.  I call this Round Trip Tagging – we give some tags to last.fm when we tag music, and they give lots of tags back to us to let us label our own collection.  Once enrolled, Boffin gives you a tag cloud interface to your music collection. Select a few tags, hit the play button and you are listening to your own music.  Here’s what my Boffin tag cloud looks like:

lastfm-biffin-tags

Of course, the listening experience is going to be good, because I’m listening to my own music and, presumably, I like that music already.

For a prototype application, Boffin is really well polished (at least the mac version is).  While enrolling my music collection, Boffin shows images of all the artists in my collection that it is finding.  I was rather amazed at how fast they were able to enroll my collection (I guess Boffin isn’t subject to the rate limits that users of the Last.fm developer API are subjected to).  I did find a few times that I thought Boffin had hung up, because I couldn’t select tags anymore, but it turns out that Boffin disables tag selection when it is actually playing music. Once I hit the stop button, I could select tags with no worries.  Boffin will even make it easy to generate the popular wordle tag cloud of my personal collection:

boffin-wordle

Good job to the folks at Last.fm, Boffin is pretty neat!

, ,

3 Comments

the sound of a million passwords changing

A bad day for my friends at Spotify. First the news of a security breach that compromised the personal information of their one million users – followed by the outage of the Spotify.com website as a million people all tried to change their passwords at once.  But despite all of this trouble, the Spotify player kept playing music.

badspot

It is interesting to see how Spotify is handling their first big crises. So far, they seem to be doing most things right –  they are being open about what the problem was and they have already fixed the problem that has caused the breach.   Looks like they may need to be a bigger web server though.

, , ,

Leave a comment