Collaborative Student Project Jeremy Tatar & Victor Burton Collaborative Student Project Jeremy Tatar & Victor Burton

Timbral, Textural, and Rhythmic Stratification in Footwork Percussion

Footwork is a style of electronic dance music that emerged in Chicago in the late 1990s. Originally produced as the accompaniment for a distinctive mode of dance—also called footwork or footworking—Footwork is a highly kinetic genre that thrives in a liminal space of perception.

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Collaborative Student Project Martin Daigle & Pauline Patie Collaborative Student Project Martin Daigle & Pauline Patie

Real-time Timbral Analysis for Musical and Visual Augmentation

Our project seeks to explore the capabilities of cutting-edge machine learning (ML) techniques for real-time sound analysis in the context of a new composition. Led by Martin Daigle, Pauline Patie, and Emmanuel Lacopo, the project features software such as Rodrigo Constanzo’s SP-Tools to provide real-time instrumental augmentation for the percussion and guitars. Furthermore, it will be used to control real-time interactive visual projections

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Collaborative Student Project Jason Winikoff & Lena Heng Collaborative Student Project Jason Winikoff & Lena Heng

Ulezo: Mapping Acoustic Properties to Timbre Descriptors in Zambian Luvale Drum Tuning

Amongst Luvale communities in Zambia, drummers tune their instruments by applying ulezo (tuning paste) and heat. In addition to adjusting pitch, this two-step process dramatically impacts timbre. The purposes of this project are to (1) explore the timbral effects of tuning by analyzing audio descriptors generated in the Timbre Toolbox and (2) map these acoustic descriptors onto Luvale timbre descriptors. A data set of individual notes was obtained from field recordings of multiple dance troupes at various stages of the tuning process.

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Collaborative Student Project Yuval Adler & Berk Schneider Collaborative Student Project Yuval Adler & Berk Schneider

Timbrenauts: Creative explorations in timbre space

In this research-creation project we wish to use experimental designs from timbre perception research to generate data models that will inform the creation of new compositions for an atypical instrumental duo. We wish to test whether research methodologies can be adopted for use in perceptually informed orchestration/composition practice.

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Collaborative Student Project Darren Xu & Louis-Michel Tougas Collaborative Student Project Darren Xu & Louis-Michel Tougas

Speech as Timbre Models for Orchestration - a Comparative Study Between Cantonese and Québécois French

This idea arose from the participants seed idea presented during the CORE Ensemble Project 2021-2022. While one was interested in timbral imitation and emergent timbre, the other used the inflections of Cantonese language to derive musical material. The proposed project aims at combining these two ideas into one, using a more science-supported approach this time.

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Collaborative Student Project Ying-Ying Zhang & Jithin Thilakan Collaborative Student Project Ying-Ying Zhang & Jithin Thilakan

An investigation of choral blending through soundfield capture, acoustic evaluation, and perceptual analysis methods

By exploring the relationship between spatial distance and choral blend, this project aims to be the initial step in creating a body of research within ACTOR to evaluate choral blend from the perspectives of both singers and listeners.The results of these studies could be compared in order to understand similarities and differences between two types of sectional performers.

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Collaborative Student Project Martin Daigle & Gabriel Couturier Collaborative Student Project Martin Daigle & Gabriel Couturier

Masque de Fer

Our research-creation project aims to integrate acoustic drums and various electronics in a semi-structured unconventional composition process. The bottom-up approach will allow both parties to be curious and create a novel piece featuring new timbres and new orchestration applications for the drum kit with electronics. The tools used for this research creation are standard drum kit, microphones, percussion sampling pads, and computer with Max MSP.

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