Omnizart: A General Toolbox for Automatic Music Transcription
Yu‐Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I‐Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su
Abstract
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 toolkit that offers transcription models for various music content including piano solo, instrument ensembles, percussion and vocal. Omnizart also supports models for chord recognition and beat/downbeat tracking, which are highly related to AMT.
Topics & Concepts
ToolboxTranscription (linguistics)Computer scienceProgramming languageLinguisticsPhilosophyMusic and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies