Jingju a cappella singing pitch contour segmentation ground truth dataset

The dataset used in the paper:

Gong, Rong; Yang, Yile; Serra, Xavier;  Pitch Contour Segmentation for Computer-aided Jingju Singing Training Sound and Music Computing (SMC 2016), 2016, Hamburg, Germany

is in "dataset" folder. The a cappella singing audio recordings are not contained in this folder due to their large size, please contact the paper authors to request them (rong.gong@upf.edu). In the "dataset" folder you can find:

1. ground truth
2. Jinging singing scores in .xml format used for estimating the bigram note transition probabilities.

The ground truth annotation is used for:

• melodic transcription (male_12_pos_1 missing)
• parameter optimization,
• evaluating the StdCdLe thresholding and the overall segmentation performance.

The subfolder "groundtruth" contains the following annotation for each jingju a cappella audio:

• file name: description (format)
• *_melodicTrans.csv: melodic transcription ground truth used for the evaluation (start_time pitch duration -).
• *_coarseSeg.csv: StdCdLe ground truth used for the parameter optimization and the evaluation (segmentation points).
• *_refinedSeg.csv: ground truth used for optimizing other parameters and the evaluation (start_time - duration).
• *_pitchtrack.csv: pitch track (contour) extracted by pYIN pitch-tracking algorithm (filename time pitch).
• *_monoNoteOut.csv: notes estimated by pYIN note-tracking algorithm (filename start_time duration pitch).