My students at NYU and Montclair State are beginning to venture into producing their own tracks. There are two challenges facing them, the small one and the big one. The small challenge is learning3 the tools: remembering where the menus are and which key you hold down to turn the mouse pointer into a pencil, learning to conceive of notes and beats as rectangles on the piano roll, troubleshooting when you play notes on the MIDI keyboard and no sound comes out. The big challenge is option paralysis. Even a lightweight tool like GarageBand comes with a staggeringly large collection of software instruments, loops and effects, even before you start dealing with recording your own sounds. Where do you even begin?
The solution I’m using with my classes is the shared-sample project. Students are challenged to build a track out of a particular sound, or set of sounds. The easy version requires that they use the given sound, along with any additional sounds they see fit to include. The hard version, and for me the really interesting one, requires that they use the given sound(s) and absolutely nothing else. I was inspired in creating these assignments by the many Disquiet Junto shared sample projects I’ve had the pleasure of participating in. I’m trying out my own project ideas on MSU advanced audio production independent studiersDan Bui and Matt Skouras, and will soon be giving shared-sample projects to my beginner-level classes as well.
The first assignment I gave Dan and Matt was to use eight GarageBand factory loops to build a track. They were free to do whatever processing they wanted, but they could not use other sounds. Also, they only had an hour to put their tracks together. Here are the loops:
My music-making life has revolved heavily around Ableton Live for the past few years, and now the same thing is happening to my music-teaching life. I’m teaching Live at NYU’s IMPACT program this summer, and am going to find ways to work it into my future classes as well. My larger ambition is to develop an all-around electronic music composition/improvisation/performance curriculum centered around Live.
While the people at Ableton have done a wonderful job documenting their software, they mostly presume that users know what they want to accomplish, they just don’t know how to get there. But my experience of beginner Ableton users (and newbie producers generally) is that they don’t even know what the possibilities are, what the workflow looks like, or how to get a foothold. My goal is to fill that vacuum, and I’ll be documenting the process extensively here on the blog.
Later this week I’m doing a teaching demo for a music technology professor job. The students are classical music types who don’t have a lot of music tech background, and the task is to blow their minds. I’m told that a lot of them are singers working on Verdi’s Requiem. My plan, then, is to walk the class through the process of remixing a section of the Requiem with Ableton Live. This post is basically the script for my lecture.
I just completed a batch of new music, which was improvised freely in the studio and then later shaped into structured tracks.
I thought it would be helpful to document the process behind this music, for a couple of reasons. First of all, I expect to be teaching this kind of production a lot more in the future. Second, knowing how the tracks were made might be helpful to you in enjoying them. Third, composing the music during or after recording rather than before has become the dominant pop production method, and I want to help my fellow highbrow musicians to get hip to it. Continue reading →
Musical repetition has become a repeating theme of this blog. Seems appropriate, right? This post looks at a wonderful book by Elizabeth Hellmuth Margulis, called On Repeat: How Music Plays The Mind, investigating the reasons why we love repetition in music. You can also read long excerpts at Aeon Magazine.
Here’s the nub of Margulis’ argument:
The simple act of repetition can serve as a quasi-magical agent of musicalisation. Instead of asking: ‘What is music?’ we might have an easier time asking: ‘What do we hear as music?’ And a remarkably large part of the answer appears to be: ‘I know it when I hear it again.’
I was looking at a collection of perfectly looped gifs on Buzzfeed and thinking about how they remind me of sample-based electronic music. In both cases, you’re taking a piece of a linear recording and making it cyclical. Do it wrong and it’s extremely irritating. Do it right and it’s mesmerizing. I’ve given a lot of thought to how looping a segment of audio changes its meaning, but am only just starting to think about the visual equivalent.
I’ve undergone some evolution in my thinking about the intended audience for my thesis app. My original idea was to aim it at the general public. But the general public is maybe not quite so obsessed with breakbeats as I am. Then I started working with Alex Ruthmann, and he got me thinking about the education market. There certainly a lot of kids in the schools with iPads, so that’s an attractive idea. But hip-hop and techno are a tough sell for traditionally-minded music teachers. I realized that I’d find a much more receptive audience in math teachers. I’ve been thinking about the relationship between music and math for a long time, and it would be cool to put some of those ideas into practice.
The design I’ve been using for the Drum Loop UI poses some problems for math usage. Since early on, I’ve had it so that the centers of the cells line up with the cardinal angles. However, if you’re going to measure angles and things, the grid lines really need to be on the cardinal angles instead. Here’s the math-friendly design:
I’ve been working on my thesis app this whole time in the serene knowledge that there’s very little precedent for what I’m trying to do. However, I just learned that I’m wrong, that there’s an app out there with a lot of broad similarities to mine: Loopseque, made by Casual Underground. At first glance, I was alarmed; had I been scooped? Has all my work been in vain? The superficial similarities are hard to miss:
Humans are pattern recognizers. You’d think that once you’d learned the pattern of a repetitive piece of music, it would quickly get boring, and then annoying. Sometimes, that is in fact what happens. I don’t enjoy Philip Glass’ music; it makes me feel like I’m stuck in the mind of someone with severe obsessive-compulsive disorder. But I adore James Brown and Fela Kuti, and my iTunes library is stuffed with loop-based hip-hop and electronica. So what’s going on? Why do I find Philip Glass annoying, but not James Brown?
Update: I now have a functioning prototype of my app. If you’d like to try it, get in touch.
My NYU masters thesis is a drum programming tutorial system for beginner musicians. It uses a novel circular interface for displaying the drum patterns. This presentation explains the project’s goals, motivations and scholarly background.