论文标题
Jacappella语料库：日语无伴奏合唱团合奏语料库
JaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus
论文作者
论文摘要
我们构建了日本无伴奏合唱团（Jacappella copus）的语料库，以进行声乐的分离和综合。它由35张版权清除的声乐合奏歌曲及其单个语音部分的录音组成。这些歌曲是由日本儿童歌曲脱颖而出的，并有六个语音零件（主唱，女高音，中音，男高音，贝斯和声乐打击乐）。它们分为七个子集，每个子集都具有音乐流派的典型特征，例如爵士和Enka。尽管传统声乐合奏数据集的主要目标是由女高音，Alto，Tenor和Bass组成的合唱唱片，但类型和语音部分匹配的声音合奏最近在社交媒体服务（例如YouTube）中广泛广泛。实验评估表明，我们的语料库是人声合奏分离的具有挑战性的资源。我们的语料库可在我们的项目页面（https://tomohikonakamura.github.io/jacappella_corpus/）上找到。
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/).
