https://audio.dev/ -- @audiodevcon
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Generative Instruments with Large Piano Models - Tomek Roszczynialski - ADC Japan 2026
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This talk presents a methodology for working with very large, GPT-like deep learning models trained on (open and ethically sourced) MIDI data. This approach promotes nuanced, musical interfacing with the model, requiring practice and skill development instead of one-shot text-based prompting.
The full machine-learning pipeline is presented, including data pre-processing, tokenization, model training and inference. The presented system will be used to demonstrate multiple generative examples created through musical interaction with Large Piano Models.
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Tomek Roszczynialski
Data science and machine learning developer with background in bio-signal processing, industrial optimization, and prog-rock piano-playing AI agents.
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ADC is an annual event celebrating all audio development technologies, from music applications and game audio to audio processing and embedded systems. ADC’s mission is to help attendees acquire and develop new audio development skills, and build a network that will support their audio developer career.
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Edited by Digital Medium Ltd: https://online.digital-medium.co.uk
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Organized and produced by JUCE: https://juce.com/
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Special thanks to the ADC Team:
Sophie Carus
Derek Heimlich
Andrew Kirk
Bobby Lombardi
Tom Poole
Ralph Richbourg
Jim Roper
Jonathan Roper
Prashant Mishra
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