Author Archives: punktzwei

DEVELOPING A SYSTEM FOR_ ELECTRONICS | AI | SOUND SCULPTURE Following the online AV piece for Future Music #3 I wanted to extend working with the material to develop a system for performing the piece live. Some early sonic questions were How to work with the PRiSM-SampleRNN machine learning generated material in real time? HowContinue reading “LIVE SET DEVELOPMENT: SOUND”

Following the AURA MACHINE ten minute online piece I created for the Future Music #3 event at RNCM in June ’21, I was keen to expand and develop the piece as a live set, bringing real time interaction with both sonic and visual materials. I’d been using Touchdesigner as a beginner and knew of itsContinue reading “LIVE SET DEVELOPMENT: VISUALS”

Delighted to have an article published for the PRiSM blog at RNCM. The piece charts my research and process so far exploring machine learning and musique concrete on my NOVARS residency, University of Manchester in collaboration with PRiSM. Leading up to my first experiment in neural synthesis AURA MACHINE which premiered online as part oContinue reading “ARTICLE FOR PRISM, ROYAL NORTHERN COLLEGE OF MUSIC”

ISOLATING THE MACHINE SOUND OBJECT_ PRiSMSampleRNN trained on materials in my Concrete training dataset. I employed two methods for sound generation using this model, firstly training took place on the supercomputers at RNCM supported by PRiSM Research Software Engineer Dr Christopher Melen for five days and secondly I undertook cloud based training experiments at homeContinue reading “LISTENING TO & COMPOSING WITH AI: First ML sample”

I am a sound and electronic media artist working with sound sculpture, DIY electronics and human-machine systems to create performances and sound objects. I like to explore the sonic materiality of our technologies and consider our agency within seemingly autonomous systems. I’d been interested in creative AI for some time, having undertaken a course onContinue reading “RESIDENCY FRAMEWORK: WHY MACHINE LEARNING & MUSIQUE CONCRETE?”

The development of the AURA MACHINE sound sculptures reflects my readings on alchemy and machine learning and is a multi-stage process of transmutation from ancient & techno symbolism through neural-latent space into the physical realm. The initial objective was to create a visual symbolic language to accompany the original 10 minute online piece for FutureContinue reading “ML SOUND SCULPTURE DEVELOPMENT”

To work with prism-samplernn  I began to build my concrete training dataset, a detailed and intensely focused sampling experience requiring a minimum of ninety minutes of material of individual sound objects for training. In order for the model to generalise and predict there is a process of statistical clustering and feature extraction, this helped me to decideContinue reading “BUILDING A CONCRETE DATASET”

AURA MACHINE_ EXPERIMENT #1 NEURAL SYNTHESIS PIECE WITH PRISMSAMPLERNN AV piece from my musique concrete and machine learning research residency with NOVARS, centre for innovation in sound, University of Manchester in collaboration with PRiSM. The piece premiered at PRiSM FutureMusic3 event, Royal Northern College of Music, June 2020 alongside works from our UNSUPERVISED machine learning for music working group. AboutContinue reading “AURA MACHINE AT FUTURE MUSIC 3”