Previous events - Page 8
Keynote at RPPW2021: "Mapping between sound, brain and behavior for understanding musical meter"
A network performance between Oslo, Stockholm, and Berlin during RPPW 2021. Three musicians explore a shared physical-virtual stage using motion capture and spatial audio.
Fibres Out of Line is an interactive art installation and performance. The installation consists of 10 autonomous musical robots. Jennifer Gerry will improvise a ?10 minute dance performance with the robots during the performance. Jennifer is in California, while the robots are in Oslo. Both Jen and the Robots will join a Zoom session to see, hear, and respond to one another.
Keynote at RPPW2021: "In the wake of Henry Shaffer"
This workshop brings together researchers from a range of disciplines together to engage in discussions about the scientific study of rhythm.
This week's Food & Paper will be given by Guilherme Schmidt C?mara from RITMO on strategies for mapping timing and intensity in drum-kit performance.
MIRAGE Symposium Special Food & Paper will be given by Emilia Gomez (Universitat Pompeu Fabra) on TROMPA project.
The 1st MIRAGE Symposium took place on 8-9 June, 2021, but continues online: all videos are available and the discussion can continue on Slack.
The symposium is organised in the context of the MIRAGE project (RITMO, in collaboration with the National Library of Norway's Digital Humanities Laboratory).
Day 1: Video, YouTube link.
Day 2: Video, YouTube link.
This week's Food & Paper will be given by Jo Thori Lind, professor of economics at the University of Oslo, about a topic we should all care about: Publication quantity (and, by extension, quality).
This week's Food & Paper will be given by Henrik Herrebr?den, PhD Fellow at RITMO, on the effect of auditory distractions on motor performance.
This week's Food & Paper will be given by Balandino Di Donato (University of Leicester) on Human-Sound Interaction.
This week's Food & Paper will be given by Ulf Holbrook (RITMO) on objects and structures.
This week's Food & Paper will be given by Paul Remache (Universidad de Málaga) on Haptic Stimuli.
In this Food & Paper, Merve Akca (RITMO) will report from the article “No Evidence for an Auditory Attentional Blink for Voices Regardless of Musical Expertise”, published in Frontiers in Psychology in January 2020. Aside from the methodology and the findings of the article, she will be linking these to topics of discussion, drawing from evolutionary psychology to cognitive neuroscience of voice recognition.
This 6th edition of MusicLab focuses on musical interactions between humans and machines, featuring prominent musicians from Norway’s improvisation scene. Christian Winther (guitar) and Dag Erik Knedal Andersen (drums) will play with an artificial intelligence-enabled interactive music system, CAVI, developed by ?a?r? Erdem.
A day filled with presentations of activities in the NordicSMC network.
This week's Food & Paper will be given by Dongho Daniel Kwak (RITMO) on music for cells.
This week's Food & Paper will be given by Laura Bishop (RITMO) on Music Therapy Partner-Play Improvisations.
This week's Food & Paper will be given by Qichao Lan (RITMO) on making music in web browsers with Glicol.
Join us for a hands-on session with tips and tricks for your online presence.
This week's Food & Paper will be given by Dana Swarbrick (RITMO) and Kelsey E. Onderdijk (Ghent University) on Livestream Experiments during the COVID-19 pandemic.
This week's Food & Paper will be given by Cagri Erdem from RITMO on performing music with machines.
Tired of bad sound? You should be because it makes you tired! Join in for a discussion of how we can improve the all-important sound aspects of our work lives.
RITMO members and guests present the third installment of the Thematic Workshop series, on the subject of 'rhythm'. The workshop is organized by the Interaction & Pleasure research cluster at RITMO.
This week's Food & Paper will be given by Filippo Bonini Baraldi (Universidade Nova) and Matthew Davies (University of Coimbra) on Connecting ethnomusicology and machine learning.