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Key Signature Estimation, Matt Cranitch, Derry Fitzgerald, Matthew Hart
Key Signature Estimation, Matt Cranitch, Derry Fitzgerald, Matthew Hart
Conference papers
The problem of automatic key signature detection has been the focus of much research in recent years. Previous methods of key estimation have focused on chromagrams and key profiling techniques. This paper presents a remarkably simple but effective method of estimating key signature from musical recordings. The algorithm introduces the "keyogram", a concept resembling the chromagram, and is aimed for use on traditional Irish music. The keyogram is a measure of the likelihood of each possible major key signature based on a masked scoring system.
Drum Source Separation Using Percussive Feature Detection And Spectral Modulation, Dan Barry, Derry Fitzgerald, Eugene Coyle, Robert Lawlor
Drum Source Separation Using Percussive Feature Detection And Spectral Modulation, Dan Barry, Derry Fitzgerald, Eugene Coyle, Robert Lawlor
Conference papers
This papers presents a method for the separation and resynthesis of drum sources from single channel polyphonic mixtures. The frequency domain technique involves identifying the presence of a drum using a novel percussive feature detection function, after which the short-time magniture spectrum is estimated and scaled according to an estimated time-amplitude function derived from the percussive measure. In addition to producing high quality separation results, the method described is also a useful pre-process for drum transcription techniques such as Prior Subspace Analysis in the presence of pitched instruments.