Every semester in Intro to Music Tech, we have Kanye West Day, when we listen analytically to some of Ye’s most sonically adventurous tracks (there are many to choose from.) The past few semesters, Kanye West Day has centered on “Ultralight Beam,” especially Chance The Rapper’s devastating verse. That has naturally led to a look at Chance’s “All We Got.”
All the themes of the class are here: the creative process in the studio, “fake” versus “real” sounds, structure versus improvisation, predictability versus surprise, and the way that soundscape and groove do much more expressive work than melody or harmony.
Writing assignment for Ethnomusicology: History and Theory with David Samuels
All of my social science professors have asked the class to define “culture” and no one is ever able to give a concise or satisfying answer. If a culture is discretely bounded and object-like, how do we understand the culture of people in borderlands, or migrants, or residents of big complicated places like New York City? Calling anthropology as “the study of culture” is not so much a description of what anthropologists do so much as it describes “the politics of inclusion whereby an author seeks to find a common underlying theme for a plethora of disciplinary projects” (Borofsky et al, 2001).
Writing assignment for History of Science and Technology class with Myles Jackson. See a more informal introduction to the vocoder here.
Casual music listeners know the vocoder best as the robotic voice effect popular in disco and early hip-hop. Anyone who has heard pop music of the last two decades has heard Auto-Tune. The two effects are frequently mistaken for one another, and for good reason—they share the same mathematical and technological basis. Auto-Tune has become ubiquitous in recording studios, in two very different incarnations. There is its intended use, as an expedient way to correct out-of-tune notes, replacing various tedious and labor-intensive manual methods. Pop, hip-hop and electronic dance music producers have also found an unintended use for Auto-Tune, as a special effect that quantizes pitches to a conspicuously excessive degree, giving the voice a synthetic, otherworldly quality. In this paper, I discuss the history of the vocoder and Auto-Tune, in the context of broader efforts to use science and technology to mathematically analyze and standardize music. I also explore how such technologies problematize our ideas of virtuosity.
This post documents a presentation I’m giving in my History of Science and Technology class with Myles Jackson. See also a more formal history of the vocoder.
The vocoder is one of those mysterious technologies that’s far more widely used than understood. Here I explain what it is, how it works, and why you should care. A casual music listener knows the vocoder best as a way to make that robot voice effect that Daft Punk uses all the time.
Here’s Huston Singletary demonstrating the vocoder in Ableton Live.
This is a nifty effect, but why should you care? For one thing, you use this technology every time you talk on your cell phone. For another, this effect gave rise to Auto-Tune, which, love it or hate it, is the defining sound of contemporary popular music. Let’s dive in!
I use variations on this project list for all of my courses. In Advanced Digital Audio Production at Montclair State University, students do all of these assignments. Students in Music Technology 101 do all of them except the ones marked Advanced. My syllabus for the NYU Music Education Technology Practicum has an additional recording studio project in place of the final project. Here’s the project list in Google Spreadsheet format.
I talk very little about microphone technology or technique in my classes. This is because I find this information to only be useful in the context of actual recording studio work, and my classes do not have regular access to a studio. I do spend one class period on home recording with the SM58 and SM57, and talk a bit about mic technique for singers. I encourage students who want to go deeper into audio recording to take a class specifically on that subject, or to read something like the Moylan book.
My project-based approach is informed strongly by Matt Mclean and Alex Ruthmann. Read more about their methods here.
I do not require any text. However, for education majors, I strongly recommend Teaching Music Through Composition by Barbara Freedman and Music Technology and Education: Amplifying Musicality by Andrew Brown.
One of our key design principles at the NYU MusEDLab is not to confront beginners with a blank canvas. We want to introduce people to our tools by giving them specific, real-world music to play around with. That was the motivation behind creating presets for the aQWERTYon, and a similar impulse informs Ableton’s approach to their online music tutorials. The Groove Pizza comes with some preset patterns (specials), but there aren’t direct prompts for creative beatmaking. This post introduces some prototype prompts.
Final paper for Approaches To Qualitative Inquiry with Colleen Larson
Section 1: Reflections on Received View of Research
I was raised by two medical researchers and a former astrophysicist, surrounded by stacks of quantitative journals. I rarely questioned the assumption that quantitative empirical research is the gold standard of truth, and that while subjective accounts are interesting and illuminating, they are not ultimately reliable. From scientists I learned that stories belong to mythology, while facts do not necessarily organize themselves in ways that can be apprehended so easily. Creation myths tell the story of a human-scale world in which humans are the most important element. Astrophysicists tell us that the universe is unfathomably vast and incomprehensibly old, and that we are insignificant in the grand scheme of things, while evolution teaches that we are more like mushrooms or daisies than unlike them. It is axiomatic for scientists that reality is empirically knowable, and while social and emotional considerations are a fact of life, they are noise to be filtered out.
Final paper for Principles of Empirical Research with Catherine Voulgarides
Jamie Ehrenfeld is a colleague of mine in the NYU Music Experience Design Lab. She graduated from NYU’s music education program, and now teaches music at Eagle Academy in Brownsville. Like many members of the lab, she straddles musical worlds, bringing her training in classical voice to her work mentoring rappers and R&B singers. We often talk about our own music learning experiences. In one such discussion, Jamie remarked: “I got a music degree without ever writing a song” (personal communication, April 29 2017). Across her secondary and undergraduate training, she had no opportunity to engage with the creative processes behind popular music. Her experience is hardly unusual. There is a wide and growing divide behind the culture of school music and the culture of music generally. Music educators are steeped in the habitus of classical music, at a time when our culture is increasingly defined by the music of the African diaspora: hip-hop, R&B, electronic dance music, and rock. Continue reading
Note: I refer to mentors by their real names, and to participants by pseudonyms
Ed Sullivan Fellows (ESF) is a mentorship and artist development program run by the NYU Steinhardt Music Experience Design Lab. It came about by a combination of happenstances. I had a private music production student named Rob Precht, who had found my blog via a Google search. He and I usually held our lessons in the lab’s office space. Over the course of a few months, Rob met people from the lab and heard about our projects. He found us sufficiently inspiring that he approached us with an idea. He wanted to give us a grant to start a program that would help young people from under-resourced communities get a start in the music industry. He asked us to name it after his grandfather, Ed Sullivan, whose show had been crucial to launching the careers of Elvis, the Beatles, and the Jackson 5. While Rob’s initial idea had been to work with refugees who had relocated to New York, we agreed to shift the focus to native New York City residents, since our connections and competencies were stronger there.
Denton, N. A., & Massey, D. (1993). American apartheid: Segregation and the making of the underclass.
The question endlessly debated by sociologists: is the black underclass the result of a) racism b) a culture of poverty c) welfare d) structural economic change or e) residential segregation? Denton and Massey say it’s choice e). “Residential segregation is the institutional apparatus that supports other racially discriminatory processes and binds them together into a coherent and uniquely effective system of racial subordination” (8). Without residential segregation, structural economic changes wouldn’t have been so devastating. Middle-class migration out of black neighborhoods contributed, but wasn’t the main factor.