I curate and prepare high-quality audio datasets—spatial and non-spatial—designed for AI, machine learning, generative models, and research. What I Offer Dataset Structuring: Organized, labeled, and training-ready audio collections. Generative Sound AI: Curated material specifically prepared for machine learning and generative audio systems. Spatial Audio Formats: Datasets in ambisonics, binaural, and object-based formats. Deliverables Organized Audio: Cleanly structured, sorted, and tagged files optimized for immediate use. ML-Ready Metadata: Standardized metadata (WAV, JSON, stems) suitable for machine learning workflows. This service ensures your audio datasets are accurate, consistent, and ready for high-performance AI development.

I offer hands-on workshops that teach artists and audio practitioners how to create spatial sound experiences. The training provides a technical and critical foundation for developing immersive works in installations, performances, and exhibition environments. What Participants Learn Core immersive sound formats: binaural, object-based audio, ambisonics, and surround. How each format works, when to use it, and its perceptual and technical implications. Full production workflow: capture, design, editing, multichannel mixing, and export for different systems. Session organization, spatial management, and practical criteria for applying spatial audio in real projects. How It’s AppliedThe content is explored through concrete cases such as spatial installations, immersive recordings, multichannel pieces, and live performance setups, enabling participants to integrate the tools into their own practice. Who It’s For Artists and musicians working with recordings, installations, or live performance. Sound designers and producers expanding into multichannel or binaural workflows. Educators, curators, and researchers exploring sound as a spatial medium. Workshop dates are announced through a newsletter, where participants can stay updated on upcoming editions.