论文标题
Animetab：动漫和游戏音乐的新吉他效果数据集
AnimeTAB: A new guitar tablature dataset of anime and game music
论文作者
论文摘要
尽管吉他的曲目已成为MIR研究中的一个流行话题，但没有这样的吉他曲面数据集，该数据集的重点是动漫和视频游戏的配乐，这些数据集在年轻人中具有令人惊讶的广泛和不断增长的观众。在本文中，我们介绍了Animetab，这是MusicXML格式的Fingerstyle吉他小型数据集，该数据集为研究人员和吉他演奏者提供了更高质量的吉他效果。 Animetab包含412个完整的曲目和547个剪辑，后者用音乐结构（简介，诗歌，合唱和桥梁）注释。包括随附的分析工具包TABPROCESER，以进一步促进其使用。这包括用于使用基于规则的算法实现的旋律和低音提取，键检测和和弦标签的功能。我们根据手动注释的地面真理评估了这些功能中的每一个。最后，例如，我们使用TabProcessor对Animetab进行了音乐和技术分析。我们的数据和代码已公开用于作曲家，表演者和音乐信息检索（MIR）研究人员。
While guitar tablature has become a popular topic in MIR research, there exists no such a guitar tablature dataset that focuses on the soundtracks of anime and video games, which have a surprisingly broad and growing audience among the youths. In this paper, we present AnimeTAB, a fingerstyle guitar tablature dataset in MusicXML format, which provides more high-quality guitar tablature for both researchers and guitar players. AnimeTAB contains 412 full tracks and 547 clips, the latter are annotated with musical structures (intro, verse, chorus, and bridge). An accompanying analysis toolkit, TABprocessor, is included to further facilitate its use. This includes functions for melody and bassline extraction, key detection, and chord labeling, which are implemented using rule-based algorithms. We evaluated each of these functions against a manually annotated ground truth. Finally, as an example, we performed a music and technique analysis of AnimeTAB using TABprocessor. Our data and code have been made publicly available for composers, performers, and music information retrieval (MIR) researchers alike.
