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Published June 17, 2018 | Version v2

Experiment dataset supplementary materials for DLfM 2018 submission

  • 1. Music Technology Group, Universitat Pompeu Fabra

Description

This is the experiment dataset supplementary materials for the DLfM 2018 paper submission:

An extended jingju solo singing voice dataset and its application on automatic assessment of singing pronunciation and overall quality at phoneme-level

Files: 

  1.  dlfm_experiment_dataset_file_list.ods: recording file names of train, validation and test sets split.
  2.  dlfm_experiment_dataset_phoneme_numbers.ods: phoneme numbers of each phone class in train, validation and test sets.
  3.  freesound_extractor_feature_list.ods: freesoundExtractor features used in ANOVA feature analysis.

The recordings listed in dlfm_experiment_dataset_file_list.ods are taken from a collection of jingju solo singing voice audio datasets, which contains three parts:

Contact information:

If you have any question, please contact the authors:

Rong Gong: Email - rong<dot>gong<at>upf<dot>edu

Files

Files (53.9 kB)

Name Size Download all
md5:787fd7d5d6b5eee542e3a58686f3510a
13.6 kB Download
md5:e798ed6004f9958bfd2d3fb0a60ac400
17.9 kB Download
md5:5bee57c2e030cd6549c15712081c4c0d
22.4 kB Download

Additional details

Funding

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