Genre Classification Using Bass-Related High-Level Features and Playing Styles

Considering its mediation role between the poles of rhythm, harmony, and melody, the bass plays a crucial role in most music genres. This paper introduces a novel set of transcription-based high-level features that characteri ze the bass and its interaction with other participating instrume nts. Furthermore, a new method to model and automatically retrieve different genre-specific bass playing styles is pr esented. A genre classification task is used as benchmark to compare common machine learning algorithms based on the presented high-level features with a classification alg orithm solely based on detected bass playing styles.

[1]  G. Baudat,et al.  Generalized Discriminant Analysis Using a Kernel Approach , 2000, Neural Computation.

[2]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[3]  Pavel Pudil,et al.  Introduction to Statistical Pattern Recognition , 2006 .

[4]  Harry Zhang,et al.  The Optimality of Naive Bayes , 2004, FLAIRS.

[5]  Gerhard Widmer,et al.  A Complexity-based Approach to Melody Track Identification in MIDI Files ? , 2007 .

[6]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[7]  J. Wade Davis,et al.  Statistical Pattern Recognition , 2003, Technometrics.

[8]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[9]  Slim Essid,et al.  Classification automatique des signaux audio-fréquences : reconnaissance des instruments de musique. (Automatic Classification of Audio Signals: Machine Recognition of Musical Instruments) , 2005 .

[10]  Malcolm D. Macleod,et al.  Automatic Bass Line Transcription from Polyphonic Music , 2001, ICMC.

[11]  Masataka Goto,et al.  A real-time music-scene-description system: predominant-F0 estimation for detecting melody and bass lines in real-world audio signals , 2004, Speech Commun..

[12]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[13]  Haruhiro Katayose,et al.  Using Bass-line Features for Content-Based MIR , 2008, ISMIR.

[14]  Arbee L. P. Chen,et al.  Discovering nontrivial repeating patterns in music data , 2001, IEEE Trans. Multim..

[15]  Ichiro Fujinaga,et al.  Automatic Genre Classification Using Large High-Level Musical Feature Sets , 2004, ISMIR.

[16]  F. Gouyon.  A computational approach to rhythm description - Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing , 2005 .

[17]  Patrick Flanagan.  Quantifying Metrical Ambiguity , 2008, ISMIR.

[18]  François Pachet,et al.  The bag-of-frames approach to audio pattern recognition: a sufficient model for urban soundscapes but not for polyphonic music. , 2007, The Journal of the Acoustical Society of America.

[19]  Anssi Klapuri,et al.  Automatic Transcription of Melody, Bass Line, and Chords in Polyphonic Music , 2008, Computer Music Journal.

[20]  Ircam,et al.  HIERARCHICAL GAUSSIAN TREE WITH INERTIA RATIO MAXIMIZATION FOR THE CLASSIFICATION OF LARGE MUSICAL INSTRUMENT DATABASES , 2003 .