Blog
Blog
I write down what I'm learning as I research: automatic music transcription, signal analysis, digital lutherie.
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DIY LabMIDI vs MusicXML in Python: what survives and what doesn't
An experiment with music21 and pretty_midi: the same phrase with fingering, a slur, and a dynamic marking, exported to both MIDI and MusicXML. What survives in each format, with real figures.
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EssaysData sovereignty: from principles to architecture
How the GDPR, the AI Act and the Digital Bond Manifesto translate into technical decisions: no analytics, no cookies, with an explicit legal basis.
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Music InformaticsWhat Music Information Retrieval (MIR) is
The field behind automatic transcription, chord recognition, and Shazam. What MIR is and how MIDI, MusicXML, and AMT fit into it.
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EssaysAI as a tool, not as the final product
Why I see generative AI as a tool that amplifies what you already know, not a substitute for judgment. With real data, not hype.
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DIY LabHow to compute a spectrogram with librosa
A step-by-step tutorial, with a downloadable notebook, on going from real audio to its spectrogram with librosa: STFT, decibels, and reading harmonic bands.
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Music InformaticsWhat MusicXML is: the score as data
Moving a score between programs without it falling apart seems trivial, and it is not. What MusicXML is and how it differs from MIDI.
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Music InformaticsWhat automatic music transcription is
Turning a recording into a score sounds trivial until you try it. What automatic music transcription (AMT) is and why it remains an open problem.
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EssaysWhat a Jupyter notebook is (and why it's a great way to start programming)
A Jupyter notebook blends explanation and runnable code in one document. What it is and why I think it's a great way into programming, especially for teaching.
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Music InformaticsopenDAW: an open-source DAW that lives in the browser
What openDAW is, how it runs in the browser via the Web Audio API and TypeScript, and how its data sovereignty model connects with GDPR and free software.
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DIY LabHow to build an audio corpus for music research
An audio corpus is not a playlist: it is a structured, labelled, reproducible collection. What it takes to make one genuinely useful for MIR research.
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DIY LabMaking music with Arduino: from buzzer to MIDI
How to get sound out of an Arduino, from a buzzer with tone() to turning sensors into controllers. A practical walkthrough, no expensive hardware.
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EssaysThe Fourier transform: from time to frequency
Why sound can be understood as a sum of frequencies, what the Fourier transform does with that idea, and how it explains the spectrum.
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Music InformaticsWhat MIDI is: instructions, not audio
What MIDI is and, more importantly, what it is not. How a MIDI message describes a note without audio, and why that makes it so flexible.
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