Melody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics

TitleMelody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics
Publication TypeJournal Article
Year of Publication2012
AuthorsSalamon, J., & Gómez E.
Journal TitleIEEE Transactions on Audio, Speech and Language Processing
Volume20
Issue6
Pages1759-1770
Journal Date08/2012
AbstractWe present a novel system for the automatic extraction of the main melody from polyphonic music recordings. Our approach is based on the creation and characterisation of pitch contours, time continuous sequences of pitch candidates grouped using auditory streaming cues. We define a set of contour characteristics and show that by studying their distributions we can devise rules to distinguish between melodic and non-melodic contours. This leads to the development of new voicing detection, octave error minimisation and melody selection techniques. A comparative evaluation of the proposed approach shows that it outperforms current state-of-the-art melody extraction systems in terms of overall accuracy. Further evaluation of the algorithm is provided in the form of a qualitative error analysis and the study of the effect of key parameters and algorithmic components on system performance. Finally, we conduct a glass ceiling analysis to study the current limitations of the method, and possible directions for future work are proposed.
Published documenthttp://mtg.upf.edu/system/files/publications/SalamonGomezMelodyTASLP2012.pdf
DOI10.1109/TASL.2012.2188515
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