论文标题
J-Pop独奏者的曲目中的歌唱技术的分析和检测
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers
论文作者
论文摘要
在本文中，我们专注于音乐信息检索研究范围内的唱歌技术。我们调查了歌手如何使用日本流行音乐歌曲（J-Pop）的著名独奏歌手的真实录音使用歌手。首先，我们构建了一个新的歌唱技术数据集。该数据集由168首商业J-Pop歌曲组成，每首歌曲都使用带有时间戳和声音音高轮廓的各种歌唱技术注释。我们还在数据集上介绍了唱歌技术的描述性统计数据，以阐明唱歌技术出现的频率和频率。我们进一步探讨了使用先前提出的机器学习技术自动检测唱歌技术的困难。在检测中，我们还研究了辅助信息的有效性（即标记持续时间的音高和分布），不仅提供了基线。最好的结果在九道多级检测上以宏观平均F量量获得40.4％。我们在附录网站0上提供数据集的注释及其详细信息。
In this paper, we focus on singing techniques within the scope of music information retrieval research. We investigate how singers use singing techniques using real-world recordings of famous solo singers in Japanese popular music songs (J-POP). First, we built a new dataset of singing techniques. The dataset consists of 168 commercial J-POP songs, and each song is annotated using various singing techniques with timestamps and vocal pitch contours. We also present descriptive statistics of singing techniques on the dataset to clarify what and how often singing techniques appear. We further explored the difficulty of the automatic detection of singing techniques using previously proposed machine learning techniques. In the detection, we also investigate the effectiveness of auxiliary information (i.e., pitch and distribution of label duration), not only providing the baseline. The best result achieves 40.4% at macro-average F-measure on nine-way multi-class detection. We provide the annotation of the dataset and its detail on the appendix website 0 .
