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: ground truth 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).

{"references": ["Gong, Rong et al. (2016). Pitch Contour Segmentation for Computer-aided Jingju Singing Training. Hamburg, Germany."]}