MusicNet

MusicNet is a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note in every recording, the instrument that plays each note, and the note's position in the metrical structure of the composition. The labels are acquired from musical scores aligned to recordings by dynamic time warping. The labels are verified by trained musicians; we estimate a labeling error rate of 4%. We offer the MusicNet labels to the machine learning and music communities as a resource for training models and a common benchmark for comparing results.

MusicNet 是一个包含330份获免费授权的古典音乐录音的数据集，同时附带超100万条标注标签，可用于标注每段录音中每个音符的精确时间、演奏该音符的乐器，以及该音符在作品节拍结构中的位置。此类标签通过动态时间规整（dynamic time warping）算法将乐谱与对应录音进行对齐后提取得到。所有标签均经过专业受训音乐人核验，经估算其标注错误率约为4%。我们将MusicNet的标注标签开放给机器学习与音乐研究社区，既可为模型训练提供资源支持，也可作为对比实验结果的通用基准测试集。