Browsing Institutt for musikkvitenskap by Author "Tørresen, Jim"

Now showing items 1-18 of 18

  • A Learning Method for Stiffness Control of a Drum Robot for Rebounding Double Strokes 
    Karbasi, Seyed Mojtaba; Godøy, Rolf Inge; Jensenius, Alexander Refsum; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
    In robot drumming, performing double stroke rolls is a key ability. Human drummers learn to play double strokes by just trying it several times. For performing it, a model needs to be learned to provide anticipatory commands ...
  • A Robotic Drummer with a Flexible Joint: the Effect of Passive Impedance on Drumming 
    Karbasi, Seyed Mojtaba; Jensenius, Alexander Refsum; Godøy, Rolf Inge; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
    Intelligent robots aimed for performing music and playing musical instruments have been developed in recent years. With the advancements in artificial intelligence and robotic systems, new capabilities have been explored ...
  • Analyzing correspondence between sound objects and body motion 
    Nymoen, Kristian; Godøy, Rolf Inge; Jensenius, Alexander Refsum; Tørresen, Jim (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2013)
    Links between music and body motion can be studied through experiments called sound-tracing. One of the main challenges in such research is to develop robust analysis techniques that are able to deal with the multidimensional ...
  • Classifying Music-Related Actions 
    Godøy, Rolf Inge; Jensenius, Alexander Refsum; Voldsund, Arve; Glette, Kyrre Harald; Høvin, Mats Erling; Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
    Our research on music-related actions is based on the conviction that sensations of both sound and body motion are inseparable in the production and perception of music. The expression "musicrelated actions" is here used ...
  • Comparing Motion Data from an iPod Touch to a High-End Optical Infrared Marker-Based Motion Capture System 
    Nymoen, Kristian; Voldsund, Arve; Skogstad, Ståle Andreas van Dorp; Jensenius, Alexander Refsum; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
    The paper presents an analysis of the quality of motion data from an iPod Touch (4th gen.). Acceleration and orientation data derived from internal sensors of an iPod is compared to data from a high end optical infrared ...
  • Composing an ensemble standstill work for Myo and Bela 
    Martin, Charles Patrick; Jensenius, Alexander Refsum; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
    This paper describes the process of developing a standstill performance work using the Myo gesture control armband and the Bela embedded computing platform. The combination of Myo and Bela allows a portable and extensible ...
  • Deep Models for Ensemble Touch-Screen Improvisation 
    Martin, Charles Patrick; Ellefsen, Kai Olav; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
    For many, the pursuit and enjoyment of musical performance goes hand-in-hand with collaborative creativity, whether in a choir, jazz combo, orchestra, or rock band. However, few musical interfaces use the affordances of ...
  • Development and evaluation of a ZigFlea-based wireless transceiver board for CUI32 
    Tørresen, Jim; Hauback, Øyvind N.; Overholt, Dan; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
    We present a new wireless transceiver board for the CUI32 sensor interface, aimed at creating a solution that is flexible, reliable, and with little power consumption. Communication with the board is based on the ZigFlea ...
  • Enabling Participants to Play Rhythmic Solos Within a Group via Auctions 
    Chandra, Arjun; Nymoen, Kristian; Voldsund, Arve; Jensenius, Alexander Refsum; Glette, Kyrre Harald; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2012)
    The paper presents the interactive music system SoloJam, which allows a group of participants with little or no musical training to effectively play together in a ``band-like'' setting. It allows the participants to take ...
  • Exploring Emerging Drumming Patterns in a Chaotic Dynamical System using ZRob 
    Karbasi, Seyed Mojtaba; Jensenius, Alexander Refsum; Godøy, Rolf Inge; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
    ZRob is a robotic system designed for playing a snare drum. The robot is constructed with a passive flexible spring-based joint inspired by the human hand. This paper describes a study exploring rhythmic patterns by ...
  • fourMs, University of Oslo Lab Report 
    Jensenius, Alexander Refsum; Glette, Kyrre Harald; Godøy, Rolf Inge; Høvin, Mats Erling; Nymoen, Kristian; Skogstad, Ståle Andreas van Dorp; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2010)
    The paper reports on the development and activities in the recently established fourMs lab (Music, Mind, Motion, Machines) at the University of Oslo, Norway. As a meeting place for researchers in music and informatics, the ...
  • PheroMusic: Navigating a Musical Space for Active Music Experiences 
    Nymoen, Kristian; Chandra, Arjun; Glette, Kyrre Harald; Tørresen, Jim; Voldsund, Arve; Jensenius, Alexander Refsum (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2014)
    We consider the issue of how a flexible musical space can be manipulated by users of an active music system. The musical space is navigated within by selecting transitions between different sections of the space. We take ...
  • RaveForce: A Deep Reinforcement Learning Environment for Music 
    Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
    RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...
  • Robotics and Intelligent Systems at University of Oslo 
    Tørresen, Jim; Glette, Kyrre Harald; Jensenius, Alexander Refsum; Furuholmen, Marcus (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2009)
    The Robotics and Intelligent Systems group conducts research in the interdisciplinary field of robotics, machine learning, reconfigurable hardware and sensing human actions. The group is affiliated to the Department of ...
  • Searching for Cross-Individual Relationships between Sound and Movement Features using an SVM Classi er 
    Nymoen, Kristian; Jensenius, Alexander Refsum; Tørresen, Jim; Glette, Kyrre Harald; Skogstad, Ståle Andreas van Dorp (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
    In this paper we present a method for studying relationships between features of sound and features of movement. The method has been tested by carrying out an experiment with people moving an object in space along with ...
  • A Statistical Approach to Analyzing Sound Tracings 
    Nymoen, Kristian; Tørresen, Jim; Godøy, Rolf Inge; Jensenius, Alexander Refsum (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2012)
    This paper presents an experiment on sound tracing, meaning an experiment on how people relate motion to sound. 38 participants were presented with 18 short sounds, and instructed to move their hands in the air while acting ...
  • Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks 
    Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
    In acoustic instruments, sound production relies on the interaction between physical objects. Digital musical instruments, on the other hand, are based on arbitrarily designed action--sound mappings. This paper describes ...
  • Wireless Sensor Data Collection based on ZigBee Communication 
    Tørresen, Jim; Renton, Eirik; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2010)
    This paper presents a comparison of different configurations of a wireless sensor system for capturing human motion. The systems consist of sensor elements which wirelessly transfers motion data to a receiver element. The ...