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In this paper, we present madmom, an open-source audio processing and musicinformation retrieval (MIR) library written in Python. madmom features aconcise, NumPy-compatible, object oriented design with simple callingconventions and sensible default values for all parameters, which facilitatesfast prototyping of MIR applications. Prototypes can be seamlessly convertedinto callable processing pipelines through madmom's concept of Processors,callable objects that run transparently on multiple cores. Processors can alsobe serialised, saved, and re-run to allow results to be easily reproducedanywhere. Apart from low-level audio processing, madmom puts emphasis onmusically meaningful high-level features. Many of these incorporate machinelearning techniques and madmom provides a module that implements some in MIRcommonly used methods such as hidden Markov models and neural networks.Additionally, madmom comes with several state-of-the-art MIR algorithms foronset detection, beat, downbeat and meter tracking, tempo estimation, and pianotranscription. These can easily be incorporated into bigger MIR systems or runas stand-alone programs.

madmom: a new Python Audio and Music Signal Processing Library