CBFdataset: A Dataset of Chinese Bamboo Flute Performances

<em>CBFdataset</em> is<em> </em>a dataset of Chinese bamboo flute (CBF) performances, created for ecologically valid analysis of music playing techniques in context. The dataset contains monophonic recordings of classic CBF pieces and expert playing technique annotations. It includes two subsets: <strong>CBF-periDB</strong> [1]: a subset for periodic modulation analysis in music signals. It comprises full-length pieces and annotations of four types of periodic modulations: vibratos, tremolos, trills, and flutter-tongue. <strong>CBF-petsDB</strong> [2]: a subset for analysing pitch evolution-based techniques (PETs). It includes full-length pieces and annotations of three types of PETs: acciaccatura, portamento, and glissando. Relevant updates, demos, and code for reproducibility are available at http://c4dm.eecs.qmul.ac.uk/CBFdataset.html. Any queries, please feel free to contact Changhong at [e-mail]. Please cite the corresponding papers: [1] C. Wang, E. Benetos, V. Lostanlen, and E. Chew, "Adaptive Time–Frequency Scattering for Periodic Modulation Recognition in Music Signals," In <em>Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)</em>, pages 809–815, 2019. [2] C. Wang, V. Lostanlen, E. Benetos, and E. Chew, "Playing Technique Recognition by Joint Time–Frequency Scattering". In <em>Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em>, pages 881–885, 2020.<em>CBF数据集</em>是面向真实语境下演奏技法生态效度分析的中国竹笛（Chinese Bamboo Flute，CBF）演奏数据集。该数据集包含经典竹笛作品的单声部录音与专业演奏技法标注，共设有两个子数据集：<strong>CBF-periDB</strong> [1]：用于音乐信号周期性调制（periodic modulation）分析的子数据集，涵盖完整曲目与四类周期性调制技法的标注：吟音（vibrato）、震音（tremolo）、颤音（trill）与花舌（flutter-tongue）。<strong>CBF-petsDB</strong> [2]：用于分析基于音高演化的演奏技法（Pitch Evolution-based Techniques, PETs）的子数据集，涵盖完整曲目与三类PETs的标注：短倚音（acciaccatura）、滑音（portamento）与滑奏（glissando）。相关更新、演示程序与可复现性代码可访问网址：http://c4dm.eecs.qmul.ac.uk/CBFdataset.html。如有任何疑问，请联系王长虹，邮箱地址为[e-mail]。请引用对应论文：[1] C. Wang、E. Benetos、V. Lostanlen与E. Chew，《面向音乐信号周期性调制识别的自适应时频散射算法》，载于<em>国际音乐信息检索会议（International Society for Music Information Retrieval Conference, ISMIR）论文集</em>，第809–815页，2019年。[2] C. Wang、V. Lostanlen、E. Benetos与E. Chew，《基于联合时频散射的演奏技法识别》，载于<em>IEEE国际声学、语音与信号处理会议（IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP）论文集</em>，第881–885页，2020年。