Noise

I’m sitting in my office, listening to the noisy ventilation system that inspired my AMBIENT project. Here is a short sample: At the moment, I am primarily focusing on completing my book Still Standing. However, as part of my year-long #StillStanding project, I have also started thinking about the sounds found in indoor environments. Asking ChatGPT for help I have yet to begin a proper literature review on ventilation noise, but as a start, I asked ChatGPT for help. We have had lots of discussions about what students can use ChatGPT for at the university this spring. The consensus is that it is a technology we cannot avoid and should embrace its possibilities and limitations. I have previously explored essay writing with You.com. To prepare myself for advising students on ChatGPT, I have decided to test it for various tasks. ...

Yesterday, I performed with the Norwegian Noise Orchestra at Betong in Oslo, at a concert organised by Dans for Voksne. The orchestra is an ad-hoc group of noisy improvisers, and I immediately felt at home. The performance lasted for 12 hours, from noon to midnight, and I performed for two hours in the afternoon. For the performance I used my Soniperforma patch based on the sonifyer technique and the Jamoma module I developed a couple of years ago (jmod.sonifyer~). The technique is based on creating a motion image from the live camera input (the webcam of my laptop in this case), and use this to draw a motiongram over time, which again is converted to sound through an “inverse FFT” process. ...

Yesterday I presented a paper on motiongrams at the Sound and Music Computing conference in Copenhagen. Today I will present the paper A study of the noise-level in two infrared marker-based motion capture systems. This is a quite nerdy, in-depth study of the noise-level of two of our motion capture systems. Abstract With musical applications in mind, this paper reports on the level of noise observed in two commercial infrared marker-based motion capture systems: one high-end (Qualisys) and one affordable (OptiTrack). We have tested how various features (calibration volume, marker size, sampling frequency, etc.) influence the noise level of markers lying still, and fixed to subjects standing still. The conclusion is that the motion observed in humans standing still is usually considerably higher than the noise level of the systems. Dependent on the system and its calibration, however, the signal-to-noise-ratio may in some cases be problematic. ...