Abstract

Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization

Highlights

  • Music can be described and represented in many different ways, including as sheet music, symbolic representations, and audio recordings (Müller, 2015). For each of these representations, different versions that correspond to the same musical work may exist

  • Various alignment and synchronization procedures have been developed with the common goal of automatically linking several types of music representations, coordinating the multiple information sources related to a given musical work

  • We introduce a Python package called Sync Toolbox that provides open-source reference implementations for full-fledged music synchronization pipelines and yields state-of-the-art alignment results for a wide range of Western music

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Summary

Introduction

Music can be described and represented in many different ways, including as sheet music, symbolic representations, and audio recordings (Müller, 2015). We introduce a Python package called Sync Toolbox that provides open-source reference implementations for full-fledged music synchronization pipelines and yields state-of-the-art alignment results for a wide range of Western music. To account for efficiency, robustness and, accuracy, our toolbox integrates and combines techniques such as multiscale DTW (MsDTW) (Müller et al, 2006; Salvador & Chan, 2004), memory-restricted MsDTW (MrMsDTW) (Prätzlich et al, 2016), and high-resolution music synchronization (Ewert et al, 2009).

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