Title:
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A comparison of melody extraction methods based on source-filter modelling
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Author:
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Bosch, Juan J.; Bittner, Rachel M.; Salamon, Justin; Gómez Gutiérrez, Emilia, 1975-
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Abstract:
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This work explores the use of source-filter models for pitch/nsalience estimation and their combination with different/npitch tracking and voicing estimation methods for automatic/nmelody extraction. Source-filter models are used/nto create a mid-level representation of pitch that implicitly/nincorporates timbre information. The spectrogram of/na musical audio signal is modelled as the sum of the leading/nvoice (produced by human voice or pitched musical instruments)/nand accompaniment. The leading voice is then/nmodelled with a Smoothed Instantaneous Mixture Model/n(SIMM) based on a source-filter model. The main advantage/nof such a pitch salience function is that it enhances/nthe leading voice even without explicitly separating it from/nthe rest of the signal. We show that this is beneficial/nfor melody extraction, increasing pitch estimation accuracy/nand reducing octave errors in comparison with simpler/npitch salience functions. The adequate combination with/nvoicing detection techniques based on pitch contour characterisation/nleads to significant improvements over stateof-the-art/nmethods, for both vocal and instrumental music. |
Abstract:
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This work is partially supported by the European Union/nunder the PHENICX project (FP7-ICT-601166) and the/nSpanish Ministry of Economy and Competitiveness under/nCASAS project (TIN2015-70816-R) and Maria de Maeztu/nUnits of Excellence Programme (MDM-2015-0502) |
Rights:
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Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Juan J. Bosch, Rachel M. Bittner, Justin Salomon, Emilia Gómez. "A comparison of melody extraction methods based on source-filter modelling", 17th International Society for Music Information Retrieval Conference, 2016, New York, United States.
http://creativecommons.org/licenses/by/4.0/ |
Document type:
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Conference Object Article - Accepted version |
Published by:
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International Society for Music Information Retrieval (ISMIR)
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