We construct a corpus of Japanese a cappella vocal ensembles (jaCappella corpus) for vocal ensemble separation and synthesis. It consists of 35 copyright-cleared vocal ensemble songs and their audio recordings of individual voice parts. These songs were arranged from out-of-copyright Japanese children's songs and have six voice parts (lead vocal, soprano, alto, tenor, bass, and vocal percussion). They are divided into seven subsets, each of which features typical characteristics of a music genre such as jazz and enka. The variety in genre and voice part match vocal ensembles recently widespread in social media services such as YouTube, although the main targets of conventional vocal ensemble datasets are choral singing made up of soprano, alto, tenor, and bass. Experimental evaluation demonstrates that our corpus is a challenging resource for vocal ensemble separation. Our corpus is available on our project page (https://tomohikonakamura.github.io/jaCappella_corpus/).
翻译:我们制作了一套日文合唱团(jaCappella Cample),供声乐组合和合成使用,由35首有版权的声乐合唱歌及其个别声音部分的录音组成,这些歌曲由日本儿童校外音乐安排,有六个声音部分(主唱、高音、高音、高音、低音、低音和声震荡),分为七个子组,每个子组具有爵士和英卡等音乐流的典型特点。各种基因和声音部分与YouTube等社交媒体服务最近普及的音响组合相匹配,尽管传统的音响乐数据集的主要目标是由高音、高音、高音、低音和低音组成。实验性评估表明,我们的剧是声团分离的一个挑战性资源。我们的作品可以在我们的项目网页(https://tomohikonakamura.github.io/jaCapella_corus/)上查阅。