Music imagery information retrieval (MIIR) systems may one day be able to recognize a song just as we think of it. As a step towards such technology, we are presenting a public domain dataset of elect
Custom Live Music Dataset是由坦佩雷大学音频研究组手动收集的，旨在评估实时音乐歌曲识别系统的性能。该数据集包含270首原始录音室版本歌曲和405首现场录音版本，涵盖了多种音乐流派和时代，主要关注西方流行音乐。数据集中的现场录音版本大多由与录音室版本相同的艺术家演奏。数据集的创建过程包括从本地图书馆的CD专辑中手动收集音频文件，并确保每个现场录音版本对应一个原始录音室版本。该
The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Music4All Dataset and (2) lyrics and user interpretations from SongMeanings.com. We design a music metad
