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J. Six, O. Cornelis, and M. Leman, "TarsosDSP, a Real-Time Audio Processing Framework in Java," Paper P2-6, (2014 January.). doi: J. Six, O. Cornelis, and M. Leman, "TarsosDSP, a Real-Time Audio Processing Framework in Java," Paper P2-6, (2014 January.). doi:
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.

@article{six2014tarsosdsp,,
author={six, joren and cornelis, olmo and leman, marc},
journal={journal of the audio engineering society},
title={tarsosdsp, a real-time audio processing framework in java},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},} @article{six2014tarsosdsp,,
author={six, joren and cornelis, olmo and leman, marc},
journal={journal of the audio engineering society},
title={tarsosdsp, a real-time audio processing framework in java},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},
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.},}

TY - paper
TI - TarsosDSP, a Real-Time Audio Processing Framework in Java
SP - EP -
AU - Six, Joren
AU - Cornelis, Olmo
AU - Leman, Marc
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014 TY - paper
TI - TarsosDSP, a Real-Time Audio Processing Framework in Java
SP - EP -
AU - Six, Joren
AU - Cornelis, Olmo
AU - Leman, Marc
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014
AB - 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.