The data consist of 16 binary inputs and one 'four-bit' one-hot classification output. The 16-bit inputs are binary-valued attack-point vectors. 1 indicates the substantial presence (0, absence) of an onset (note start) in a certain time window during one bar of 4/4 time music (not limited to percussion, hence *onset* vectors without duration) quantized to 16th-note subdivisions. Each vector has 16 positions in which there may be or not be an onset. The output classes (left to right: neutral, reverse clave, forward clave, and incoherent) were determined through the music-theoretic/ethnomusicological portion of the my dissertation studies, based on both double-blind listening tests and informal interviews with with four professional master-musicians, as well as decades of studying the music. Future uploads (subject only to formatting) can include an additional column of fuzzy descriptors (of the degree of match to the output class).
The data consist of 16 binary inputs and one 'four-bit' one-hot classification output. The 16-bit inputs are binary-valued attack-point vectors. 1 indicates the substantial presence (0, absence) of an onset (note start) in a certain time window during one bar of 4/4 time music (not limited to percussion, hence *onset* vectors without duration) quantized to 16th-note subdivisions. Each vector has 16 positions in which there may be or not be an onset. The output classes (left to right: neutral, reverse clave, forward clave, and incoherent) were determined through the music-theoretic/ethnomusicological portion of the my dissertation studies, based on both double-blind listening tests and informal interviews with with four professional master-musicians, as well as decades of studying the music. Future uploads (subject only to formatting) can include an additional column of fuzzy descriptors (of the degree of match to the output class).
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