Tag Archive Sonification

Byadmin

Music and Installation Chair @IEEE IoS 2024

Marlon Schumacher will serve as music and installation co-chair together with Esther Fee Feichtner for the IEEE

5th International Symposium on the Internet of Sounds

held at the International Audio Laboratories Erlangen, from 30 September – 2 October 2024. Follow this link to the official IEEE Website:

“The Internet of Sounds is an emerging research field at the intersection of the Sound and Music Computing and the Internet of Things domains.  […] The aim is to bring together academics and industry to investigate and advance the development of Internet of Sounds technologies by using novel tools and processes. The event will consist of presentations, keynotes, panels, poster presentations, demonstrations, tutorials, music performances, and installations.”

 

The Internet of Sounds Research Network is supported by an impressive number (> 120) of institutions from over 20 countries, with a dedicated IEEE committee for emerging technology initiatives. Partners from Germany include:

ByFlorian Simon

PixelWaltz: Sonification of images in OpenMusic

Abstract: The OpenMusic program PixelWaltz can be used to convert images into symbolic representations of music (pitches and onset times). Options for image manipulation are available with which the result can be additionally influenced.

Responsible persons: Florian Simon

Mapping: Pitch

The pixels of the image are scrolled through line by line and the respective red, green and blue values (between 0 and 1) are mapped to a desired pitch range. This means that three pitch values in midicent are always obtained from one pixel. As two adjacent pixels are similar in many cases, this mapping method often results in repeating patterns every three notes. This is the reason for the title of the project.

It is also possible to limit the number of note values output.

Mapping: Application times

A constant value can be set for the start times and note durations. A humanizer effect can also be switched on, which randomly shifts each note forwards or backwards within a specified range. Starting from the basic tempo, accelerandi and ritardandi can be created by passing lists of three numbers. These represent the start note, end note and speed of the tempo change. (20 50 -1) creates an accelerando from note 20 to note 50, in which the intervals per note become one millisecond shorter. A positive third value corresponds to a ritardando.

Dynamics

Different random ranges for “red”, “green” and “blue” notes can be defined for the volume or velocity. The values generated in this way can also be modulated sinusoidally so that, for example, the volume can rise and fall over longer periods of time. This requires the specification of a wavelength in the number of notes and the maximum deviation factor.

Accompaniment

PixelWaltz offers the option of generating an accompanying voice, which consists of individual additional tones in a desired fixed note number frequency. If this is not divisible by 3, a polymetric is often created. The pitch is determined randomly and can be between 3 and 6 semitones below the respective “accompanied” note.

Image processing

In order to create further variation, the sonification section of PixelWaltz is preceded by tools for manipulating the input image. In addition to adjusting the image size, brightness and contrast, it is also possible to shift the color values and thus recolor the image. The changes in the musical translation are immediately noticeable: More brightness leads to a higher average pitch, more contrast reduces the number of different pitch values. With a blue-dominated image, the last notes of the triplet will usually be the highest.

Sound results

The tonal results naturally differ depending on the input – but photographed material in particular often leads to the same wave-like overall structure, which winds irregularly and at a slow tempo chromatically, sometimes upwards, sometimes downwards. The accompaniment supports this effect and can form a counter-pulse to the main voice.

Byadmin

Extension of the acousmatic study – 3D 5th-order Ambisonics

This article is about the fourth iteration of an acousmatic study by Zeno Lösch, which was carried out as part of the seminar “Visual Programming of Space/Sound Synthesis” with Prof. Dr. Marlon Schumacher at the HFM Karlsruhe. The basic conception, ideas, iterations and the technical implementation with OpenMusic will be discussed.

Responsible persons: Zeno Lösch, Master student Music Informatics at HFM Karlsruhe, 2nd semester

 

Pixel

A Python script was used to obtain parameters for modulation.

This script makes it possible to scale any image to 10 x 10 pixels and save the respective pixel values in a text file. “99 153 187 166 189 195 189 190 186 88 203 186 198 203 210 107 204 143 192 108 164 177 206 167 189 189 74 183 191 110 211 204 110 203 186 206 32 201 193 78 189 152 209 194 47 107 199 203 195 162 194 202 192 71 71 104 60 192 87 128 205 210 147 73 90 67 81 130 188 143 206 43 124 143 137 79 112 182 26 172 208 39 71 94 72 196 188 29 186 191 209 85 122 205 198 195 199 194 195 204 ” The values in the text file are between 0 and 255. The text file is imported into Open Music and the values are scaled.

These scaled values are used as pos-env parameters.

Reaper and IEM-Plugin Suite

 

With different images and different scaling, you get different results that can be used as parameters for modulation. In Reaper, the IEM plug-in suite was used in post-production. These tools are used for Ambisonics of different orders. In this case, Ambisonics 5 order was used. One effect that was often used is the FDNReverb. This reverb unit offers the possibility of applying an Ambisonics reverb to a multi-channel file. The stereo and mono files were first encoded in 5th order Ambisonics (36 channels) and then converted into two channels using the binaural encoder. Other post-processing effects (Detune, Reverb) were programmed by myself and are available on Github. The reverb is based on a paper by James A. Moorer About this Reverberation Business from 1979 and was written in C. The algorithm of the detuner was written in C from the HTML version of Miller Puckette’s handbook “The Theory and Technique of Electronic Music”. The result of the last iteration can be heard here.