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A research study utilizing RAVE models for live interactive electronics, investigating multi-modal control via MIDI controllers, NGIMU sensors using OSC protocol, and audio inputs through a custom MAX/MSP patch deployed in two performances.
READ MORE north_eastA due diligence assessment evaluating model architectures, dataset availability, deployment constraints, and ROI timelines for AI-powered office furniture detection on mobile devices.
READ MORE north_eastA controlled benchmarking toolkit for automatic music transcription that systematically varies acoustic factors to separate algorithmic limitations from recording artefacts.
READ MORE north_eastAn evaluation framework for assessing generative AI tools in creative practice by examining situated observation of production workflows rather than just final outputs, developed through my PhD research and validated with professional music producers at UiT, UiO, and NTNU faculties.
READ MORE north_eastAn interdisciplinary collaboration merging AI research with artistic vision, using StyleGAN-generated faces to address human rights and political identity.
READ MORE north_eastAn Interreg-funded collaboration applying advanced predictive modeling techniques to real-world energy management challenges in Arctic environments, integrating electric mobility with smart home technology.
READ MORE north_eastAn unsupervised framework for analyzing audio patterns in musical loops through anomaly detection. Combines HTS-AT feature extraction with Deep SVDD to learn normal patterns without labeled training …
READ MORE north_eastTwo complementary Python repositories for training and analyzing Growing Hierarchical Self-Organizing Maps, focusing on design decisions, trade-offs, and practical research workflows.
READ MORE north_eastA Python package for extracting instrument-specific musical loops from MIDI datasets. Implements a modular pipeline for bass, guitar, piano, drums, and synthesizer parts with configurable filtering …
READ MORE north_east