madmom: a new Python Audio and Music Signal Processing Library. In this paper, we present madmom, an open-source audio processing and music information retrieval (MIR) library written in Python. madmom features a concise, NumPy-compatible, object oriented design with simple calling conventions and sensible default values for all parameters, which facilitates fast prototyping of MIR applications. Prototypes can be seamlessly converted into callable processing pipelines through madmom’s concept of Processors, callable objects that run transparently on multiple cores. Processors can also be serialised, saved, and re-run to allow results to be easily reproduced anywhere. Apart from low-level audio processing, madmom puts emphasis on musically meaningful high-level features. Many of these incorporate machine learning techniques and madmom provides a module that implements some in MIR commonly used methods such as hidden Markov models and neural networks. Additionally, madmom comes with several state-of-the-art MIR algorithms for onset detection, beat, downbeat and meter tracking, tempo estimation, and piano transcription. These can easily be incorporated into bigger MIR systems or run as stand-alone programs.
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References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Meinard Müller; Frank Zalkow: libfmp: A Python Package for Fundamentals of Music Processing (2021) not zbMATH
- Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su: Omnizart: A General Toolbox for Automatic Music Transcription (2021) arXiv
- António Ramires, Gilberto Bernardes, Matthew E. P. Davies, Xavier Serra: TIV.lib: an open-source library for the tonal description of musical audio (2020) arXiv
- Amiot, Emmanuel; Lerat, Jean-Philippe; Recoules, Bérenger; Szabo, Valérie: Developing software for dancing tango in Compás (2017)
- Krzysztof Szczypiorski, Wojciech Zydecki: StegIbiza: Steganography in Club Music Implemented in Python (2017) arXiv