We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT). Omnizart encompasses modules that construct the life-cycle of deep learning-based AMT, and is designed for ease of use with a compact command-line interface. To the best of our knowledge, Omnizart is the first transcription toolkit which offers models covering a wide class of instruments ranging from solo, instrument ensembles, percussion instruments to vocal, as well as models for chord recognition and beat/downbeat tracking, two music information retrieval (MIR) tasks highly related to AMT.
翻译:我们提出并发布Omnizart(Omnizart),这是一个新的Python图书馆,它为自动音乐转录提供了简化的解决方案(AMT ) 。 Omnnizart包含构建深层学习的AMT生命周期的模块,设计该模块是为了便于使用,并有一个紧凑的指令-线界面。 据我们所知,Omnnizart(Omnizart)是第一个转录工具包,它提供了涵盖从独奏、乐器组合、震动仪器到声波等一系列广泛工具的模型,以及合奏识别和击打/击拍跟踪模型,两个音乐信息检索(MIR)的任务与AMT高度相关。