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How Computers Hear Harmony: Chords, Keys, and Music Theory

How computers listen to audio, decode musical harmony, and detect song keys using first-principles music theory

Audio ready.

Understand how chord and key recognition actually works. You will learn how sound waves become digital numbers, how the Constant-Q chromagram isolates musical notes, how simple geometry identifies major and minor triads without complex AI models, how majority-vote smoothing cleans up audio jitter, and how cognitive psychology can estimate a home key when the music stays near one major or minor center.

Episoden

  1. 1

    Sound Waves, Frequencies, and the 12 Musical Notes

    Before a computer can name a chord, it has to understand sound. Discover how air vibrations turn into numbers, why octaves are like elevator floors, and how all Western harmony fits into 12 simple pitch buckets.

  2. 2

    The Chromagram – Translating Sound Waves into a 12-Note Musical Map

    How do you translate a messy, overlapping sound wave into clean musical notes? Meet the Constant-Q Transform and the Chromagram—the 12-lane highway of musical audio analysis.

  3. 3

    Chord Templates & Cosine Similarity – Recognizing Chords Without AI Models

    Think you need a deep neural network to identify chords? Think again. Learn how 24 basic blueprints and simple vector geometry recognize chords without training a model.

  4. 4

    Cleaning the Noise – Smoothing Flickers & Building Clean Timelines

    Raw frame-by-frame chord guesses are jumpy and noisy. Discover why standard signal filtering breaks on chord labels, how majority voting fixes it, and how to build a crisp chord chart.

  5. 5

    Finding the Song's Key & Measuring Real Success

    How does a computer know the overall key of a song? Learn about the Krumhansl-Schmuckler cognitive profiles, Pearson correlation, and how to score chord accuracy like a real musician.

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BG

Burak Gündüz

Creative Coder

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