The Differentiable Intonation Tools (dit) are a collection of Python functions to analyze the intonation in multitrack audio signals.
In particular, two measures are made available here, a tonal cost (the proximity to a tonal grid) and a harmonic cost (the perceptual dissonance between salient frequencies). The cost measures can be used to adapt intonation of multitrack audio signals in relation to each other, by minimizing the the cost using gradient descent (as exemplified in the notebook examples.ipynb).
Details and application examples can be found in the reference below and on the accompanying website.
If you use the Differentiable Intonation Tools in your research, please cite the following paper:
Simon Schwär, Sebastian Rosenzweig, and Meinard Müller: A Differentiable Cost Measure for Intonation Processing in Polyphonic Music. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR): 626–633, 2021.
There is no pip package (yet?), so please clone this repository, navigate to the root folder and install with
python setup.py [install|develop]
or
pip install -e .
Required software packages: numpy (>= 1.17.0), scipy (>= 1.7.0), librosa (>= 0.8.0), libtsm (>= 1.1.0, for the example)
Please see the notebook examples.ipynb for some usage examples. API documentation can be found in the code files.
This project was supported by the German Research Foundation (DFG MU 2686/12-1, MU 2686/13-1). The International Audio Laboratories Erlangen are a joint institution of the Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) and Fraunhofer Institute for Integrated Circuits IIS.