Cante2Midi Metadata

The <strong>cante2midi</strong> dataset contains 20 tracks taken from the corpus and includes a large variety of styles and complexity with respect to melodic ornamentation. We provide note-level transcriptions of the singing voice melody in a MIDI-like format, where each note is defined by onset time, duration and a quantized MIDI pitch. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz IDs. Content: <strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations. <strong>meta-data</strong> (10KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style and musicBrainzID). <strong>manual transcriptions</strong> (82KB): MIDI (.mid) and text files (.notes) containing manual note-level transcriptions of the singing voice. <strong>automatic transcriptions</strong> (75KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice. <strong>Bark band energies</strong> (39.9MB): Text files (.csv) containing the frame-wise extracted bark band energies. <strong>predominant melody</strong> (6.2MB): Text files (.csv) containing the frame-wise extracted predominant melody. <strong>low-level descriptors</strong> (7.9MB)Text files (.csv) containing a set of frame-wise extracted low-level features. <strong>MFCCs</strong> (17.8MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs). <strong>Magnitude spectrum</strong> (709.1MB, optional): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT) <strong>Publications</strong> This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>. N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR]. https://doi.org/10.1145/2875428 <strong>Conditions of use</strong> The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br> © COFLA 2015. All rights reserved. <strong>cante2midi Audio</strong>