AUDIO CHORD EXTRACTION USING A PROBABILISTIC MODEL
Johan M. Pauwels, Matthias Varewyck, Jean‐Pierre Martens · 2009
This paper presents our submission to the MIREX 2008 Audio Chord Detection task. The front-end of our system incorporates a novel feature extractor which uses multiple pitch tracking techniques to extract for each frame a chroma profile that is more robust against chroma contributions not originating from fundamental frequencies but from harmonics thereof. The back-end of our system implements a probabilistic framework for the simultaneous recognition of chords and keys. The system works with probabilities and density functions derived from Lerdahl’s tonal distance metric and consequently, it needs no explicit training. 1 IMPLEMENTATION OVERVIEW Input wavefiles are converted to mono, resampled to 8 kHz and split into frames. The frame length is 150 ms and the