BachChoralHarmony
OpenML dataset with id 4552
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Full work available at URL: https://api.openml.org/data/v1/download/1798821/BachChoralHarmony.arff
Upload date: 17 February 2016
Dataset Characteristics
Number of classes: 102
Number of features: 17 (numeric: 2, symbolic: 15 and in total binary: 12 )
Number of instances: 5,665
Number of instances with missing values: 0
Number of missing values: 0
Author: -- Creators: Daniele P. Radicioni and Roberto Esposito -- Donor: Daniele P. Radicioni (radicion '@' di.unito.it) and Roberto Esposito (esposito '@' di.unito.it) -- Date: May","2014 Source: UCI Please cite: D. P. Radicioni and R. Esposito. Advances in Music Information Retrieval, chapter BREVE: an HMPerceptron-Based Chord Recognition System. Studies in Computational Intelligence, Zbigniew W. Ras and Alicja Wieczorkowska (Editors), Springer, 2010.
Abstract: The data set is composed of 60 chorales (5665 events) by J.S. Bach (1675-1750). Each event of each chorale is labelled using 1 among 101 chord labels and described through 14 features. Source:
-- Creators: Daniele P. Radicioni and Roberto Esposito -- Donor: Daniele P. Radicioni (radicion '@' di.unito.it) and Roberto Esposito (esposito '@' di.unito.it) -- Date: May, 2014
Data Set Information:
Pitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)Web Link. Meter information has been computed through the Meter program which is part of the Melisma music analyser (Melisma)Web Link. Chord labels have been manually annotated by a human expert.
Attribute Information:
1. Choral ID: corresponding to the file names from (Bach Central)Web Link. 2. Event number: index (starting from 1) of the event inside the chorale. 3-14. Pitch classes: YES/NO depending on whether a given pitch is present. Pitch classes/attribute correspondence is as follows: C -> 3 C#/Db -> 4 D -> 5 ... B -> 14 15. Bass: Pitch class of the bass note 16. Meter: integers from 1 to 5. Lower numbers denote less accented events, higher numbers denote more accented events. 17. Chord label: Chord resonating during the given event.
Relevant Papers:
1. D. P. Radicioni and R. Esposito. Advances in Music Information Retrieval, chapter BREVE: an HMPerceptron-Based Chord Recognition System. Studies in Computational Intelligence, Zbigniew W. Ras and Alicja Wieczorkowska (Editors), Springer, 2010. 2. Esposito, R. and Radicioni, D. P., CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning, Journal of Machine Learning Research, 10(Aug):1851-1880, 2009.
Citation Request:
D. P. Radicioni and R. Esposito. Advances in Music Information Retrieval, chapter BREVE: an HMPerceptron-Based Chord Recognition System. Studies in Computational Intelligence, Zbigniew W. Ras and Alicja Wieczorkowska (Editors), Springer, 2010.
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