An End-to-End Machine Learning System for Harmonic Analysis of Music

We present a new system for the harmonic analysis of popular musical audio. It is focused on chord estimation, although the proposed system additionally estimates the key sequence and bass notes. It is distinct from competing approaches in two main ways. First, it makes use of a new improved chromag...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-08, Vol.20 (6), p.1771-1783
Hauptverfasser:	Ni, Y., McVicar, M., Santos-Rodriguez, R., De Bie, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Audio chord estimation Bass Detection, estimation, filtering, equalization, prediction Exact sciences and technology Fourier analysis Ground truth Harmonic analysis harmony progression analyzer (HPA) Hidden Markov models Humans Information, signal and communications theory Keys Loudness loudness-based chromagram Machine learning Maximum likelihood estimation meta-song evaluation Perception Signal and communications theory Signal, noise Telecommunications and information theory Topology Vectors
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