WORKSHOP

Working with Ambisonics: Theory and Practice

with Mariam Gviniashvili

When? Saturday 25. January, kl14 - 19

Where? Notam, Myrens Verksted 3A, Oslo

Accessibility Rider

What? This workshop is all about spatial sound and Ambisonics. We will start with the question of how we perceive sound in 3D space and take a short detour into the history of spatial sound. Then we will look at Ambisonics and break down the theory enough for you to understand why it is useful, when it is used and what makes it so powerful.

In the second half of the workshop, we will get hands-on. Using Reaper and the IEM plug-in suite, we will create some sketches and play them back in the studio with a 24.1 speaker setup to hear the results. By the end of the workshop you will have completed a basic Ambisonics project and have the skills to experiment further with spatial sound.

Who? Mariam Gviniashvili is a composer and sound artist specializing in spatial sound. Her work encompasses electroacoustic music, audiovisual media and instrumental collaborations, consistently focusing on spatial audio formats. Gviniashvili's work has been presented at prestigious venues and festivals worldwide, including Ars Electronica, Beast Feast, MA/IN, Heroines of Sound, Ultima Festival, ZKM, CCRMA, ZiMMT, IEM, Virginia Tech, EMPAC and more.
www.mariamgviniashvili.com

Requirements for participation

  • Nuts And Bolts membership (nutsandbolts.space/membership)

  • You’re a professional musician, or have the ambition to become one

  • Basic understanding of DAW principles is recommended

Bring with you

Language: English

We particularly encourage women, non-binary, trans, bipoc, queer, neurodiverse, and disabled persons to apply.

This workshop is accessible for a maximum of 1 wheelchair user. Assistant dogs are welcome. In both these cases please contact us in advance, so we can talk through the details.

Contact: nutsandboltsnorway.production@gmail.com

This project is funded by:

Støttet av

Støttet av

Photo by Koka Nikoladze.

Application Form