singing voice detection dataset ALL-Pub-SVD-In-One

singing voice detection datasets: it contains the public dataset of Jamendo Dataset, and the RWC dataset , and the iKala dataset, and the MIR-1K dataset , and teh MedlyDB dataset. Jamendo are same with the raw. RWC use the simply mode same with the lable in Jamendo just sing or nosing. iKala and MIR-1K are full wavfiles with the generated lables from the PitchLables. 0 for nosing and other for sing. MedlyDB use part wavfiles from the RAW dataset and also generated lables from the MELODY_2 lables with 0 for nosing and other for nosing.歌声检测数据集： 本数据集包含以下公开数据集：Jamendo数据集、RWC数据集、iKala数据集、MIR-1K数据集以及MedlyDB数据集。 Jamendo数据集直接采用原始未处理的数据源。 RWC数据集采用与Jamendo数据集一致的简化标注模式，仅设置「歌唱」与「nosing」两类标签。 iKala数据集与MIR-1K数据集均包含完整的WAV音频文件（WAV），其标注由音高标签（PitchLables）生成：标签值为0代表「nosing」，其余非零值均代表「歌唱」。 MedlyDB数据集从原始数据源中选取部分WAV音频文件，其标注由MELODY_2标签生成，规则为标签值为0代表「nosing」，其余非零值同样代表「nosing」。