Sonifyer

Today I will present the paper Non-Realtime Sonification of Motiongrams at the Sound and Music Computing Conference (SMC) in Stockholm. The paper is based on a new implementation of my sonomotiongram technique, optimised for non-realtime use. I presented a realtime version of the sonomotiongram technique at ACHI 2012 and a Kinect version, the Kinectofon, at NIME earlier this year. The new paper presents the ImageSonifyer application and a collection of videos showing how it works. ...

I am currently working on a paper describing some further exploration of the sonifyer technique and module that I have previously published on. The new thing is that I am now using the inputs from a Kinect device as the source material for the sonification, which opens up for using also the depth in the image as an element in the process. To be able to create figures for the paper, I needed to record the input from a Kinect to a regular video file. For that reason I have created a small Max patch called KinectRecorder, which allows for easy recording of one combined video file from the two inputs (regular video image and depth image) from the Kinect. As the screenshot below shows, there is not much more to the patch than starting the video input from the Kinect, and then start the recording. Files will be stored as with.jpg compression and named with the current date and time. ...

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. ...

I got a question the other day about how it is possible to record a sonifyed video file based on my sonification module for Jamoma for Max. I wrote about my first experiments with the sonifyer module here, and also published a paper at this year’s ACHI conference about the technique. It is quite straightforward to record a video file with the original video + audio using the jit.vcr object in Max. Below is a screenshot from a patch (sonifyer-recorder.maxpat) doing this: ...

A couple of days ago I presented the paper “Motion-sound Interaction Using Sonification based on Motiongrams” at the ACHI 2012 conference in Valencia, Spain. The paper is actually based on a Jamoma module that I developed more than a year ago, but due to other activities it took a while before I managed to write it up as a paper. See below for the full paper and video examples. The Paper Download paper (PDF 2MB) Abstract: The paper presents a method for sonification of human body motion based on motiongrams. Motiongrams show the spatiotemporal development of body motion by plotting average matrices of motion images over time. The resultant visual representation resembles spectrograms, and is treated as such by the new sonifyer module for Jamoma for Max, which turns motiongrams into sound by reading a part of the matrix and passing it on to an oscillator bank. The method is surprisingly simple, and has proven to be useful for analytical applications and in interactive music systems. ...