chord-detection
A Python library implementing academic DSP algorithms for polyphonic chord detection and key estimation from audio.
What is chord-detection?
chord-detection is a Python library that implements Digital Signal Processing (DSP) algorithms for automatically detecting musical chords and estimating the key from polyphonic audio files. It translates methods from academic papers into practical code, solving the problem of extracting harmonic information from complex music signals. The library includes multiple detection techniques like ESACF and Harmonic Energy, each offering different approaches to multipitch analysis.
Audio DSP researchers, music information retrieval developers, and programmers working on music analysis, transcription, or music technology applications who need robust, academic-grade chord detection algorithms.
Developers choose chord-detection for its focused collection of peer-reviewed algorithm implementations, saving the effort of coding complex DSP papers from scratch. Its key advantage is providing multiple, tested methods in one package with a simple CLI, enabling direct comparison and practical use in music analysis projects.
Overview
DSP algorithms for chord detection + key estimation
Use Cases
Best For
- Implementing academic chord detection papers in a Python project
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