Dataset for Interspeech 2018 submission: Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions

This dataset contains the materials for training, testing the joint and HSMM models mentioned in the paper "<em>Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions"</em>. The filename list of this dataset can be found in the function <em>get_train_test_recordings_joint()</em> of <em>./general/trainTestSeparation.py</em> file. The dataset contains the Praat TextGrids and .wavs of the variables: <em>train_primary_school, val_primary_school</em> and <em>test_primary_school</em>. For accessing other datasets such as <em>train_nacta_2017, train_nacta</em> and <em>train_sepa</em>, please download them from the links: jingju dataset part1: https://zenodo.org/record/1185154 jingju dataset part2: https://doi.org/10.5281/zenodo.842229 Once you have downloaded these three datasets, you need to set the paths in <em>./general/filePathShared.py</em>. Set <em>path_jingju_dataset</em> to the parent path of these three datasets. Set <em>primarySchool_dataset_root_path</em> to the path of the interspeech2018 dataset (the current dataset). Set <em>nacta_dataset_root_path</em> to the path of the jingju dataset part1. Set <em>nacta2017_dataset_root_path</em> to the path the jingju dataset part2. For more information on this paper, please refer to the Github page: https://github.com/ronggong/interspeech2018_submission01