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Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies

Title Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies
Publication Type Conference Paper
Year of Publication 2004
Conference Name 5th International Society for Music Information Retrieval (ISMIR) Conference
Authors Gómez, E. , & Herrera P.
Pagination 92-95
Abstract In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several machine learning techniques to find a model for tonality (mode and key note) determination of polyphonic music from audio files. Both approaches have, as an input, a vector of values related to the intensity of each of the pitch classes of a chromatic scale. In this study, both methods are explained and evaluated in a large database of audio recordings of classical pieces.
preprint/postprint document http://mtg.upf.edu/system/files/publications/G%C3%B3mezHerrera-ISMIR-2004-page-92.pdf