cante2midi Metadata
| Main Authors: | Nadine Kroher, José Miguel Díaz-Báñez, Joaquin Mora, Emilia Gómez |
|---|---|
| Format: | info dataset Journal |
| Terbitan: |
, 2018
|
| Online Access: |
https://zenodo.org/record/1322526 |
Daftar Isi:
- The cante2midi 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: README (5KB): Text file containing detailed descriptions of manual and automatic annotations. meta-data (10KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style and musicBrainzID). manual transcriptions (82KB): MIDI (.mid) and text files (.notes) containing manual note-level transcriptions of the singing voice. automatic transcriptions (75KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice. Bark band energies (39.9MB): Text files (.csv) containing the frame-wise extracted bark band energies. predominant melody (6.2MB): Text files (.csv) containing the frame-wise extracted predominant melody. low-level descriptors (7.9MB)Text files (.csv) containing a set of frame-wise extracted low-level features. MFCCs (17.8MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs). Magnitude spectrum (709.1MB, optional): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT) Publications This work has been accepted for publication in the ACM Journal of Computation and Cultural heritage and is currently available in arXiv. N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): Corpus COFLA: A research corpus for the Computational study of Flamenco Music. arXiv:1510.04029 [cs.SD cs.IR]. https://doi.org/10.1145/2875428 Conditions of use 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. © COFLA 2015. All rights reserved. cante2midi Audio