TarsosDSP, a Real-Time Audio Processing Framework in Java

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Publication type: Articles in peer reviewed conference proceedings

Abstract: This paper presents TarsosDSP, a framework for real-time audio analysis and processing. Most libraries and frameworks offer either audio analysis and feature extraction or audio synthesis and processing. TarsosDSP is one of a only a few frameworks that offers both analysis, processing and feature extraction in real-time, a unique feature in the Java ecosystem. The framework contains practical audio processing algorithms, it can be extended easily, and has no external dependencies. Each algorithm is implemented as simple as possible thanks to a straightforward processing pipeline. TarsosDSP's features include a resampling algorithm, onset detectors, a number of pitch estimation algorithms, a time stretch algorithm, a pitch shifting algorithm, and an algorithm to calculate the Constant-Q. The framework also allows simple audio synthesis, some audio effects, and several filters. The Open Source framework is a valuable contribution to the MIR-Community and ideal fit for interactive MIR-applications on Android.

@inproceedings{six2014tarsosdsp,
  author      = {Joren Six and Olmo Cornelis and Marc Leman},
  title       = {{TarsosDSP, a Real-Time Audio Processing Framework in Java}},
  booktitle   = {{Proceedings of the 53rd AES Conference (AES 53rd)}}, 
  year        =  2014
}