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arXiv · 2106.00497

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
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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 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.

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Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su. 2021-06-01. Omnizart: A General Toolbox for Automatic Music Transcription. https://arxiv.org/abs/2106.00497

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