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IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Melody Extraction from Polyphonic Music Signals using Pitch Contour Characteristics

By Justin Salamon and Emilia Gómez


Abstract—We 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

Topics: Index Terms—Predominant Melody Estimation, Multi-pitch Estimation, Music Information Retrieval, Audio Content Description, Pitch Contour
Year: 2013
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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