Published March 1, 2017 | Version v1

Jingju Phoneme Classification Features for EUSIPCO 2017 paper

Authors/Creators

  • 1. Music Technology Group - Universitat Pompeu Fabra

Description

This dataset contains the pre-computed Mel-bands features from the training part of 

Rong Gong, Rafael Caro Repetto, & Yile Yang. (2017). Jingju a cappella singing dataset part1 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.344932

This dataset is used for reproducing the singing voice phoneme classification experiment described in the following paper:

Timbre Analysis of Music Audio Signals with Convolutional Neural Networks  

For the usage and code, please refer to https://github.com/ronggong/EUSIPCO2017 

Files

Files (8.5 GB)

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Additional details

Funding

European Commission
COMPMUSIC - Computational models for the discovery of the world's music 267583