audiomath is a package for Python programmers who want to record, manipulate, visualize or play sound waveforms. It allows you to:
Represent sounds as numeric arrays via the third-party Python package numpy (required). The arrays are contained within high-level objects, allowing common operations to be performed with minimal coding—for example: slicing and concatenation in time, selection and stacking of channels, resampling, mixing, rescaling and modulation.
Plot the resulting waveforms, via the third-party Python package matplotlib (optional).
Read and write uncompressed .wav files (via the Python standard library).
Read other audio formats using the third-party AVbin library (binaries are included in the package, for a selection of platforms).
Record and play back sounds using the third-party PortAudio library (binaries are included in the package, for a selection of platforms).
Play sounds using the alternative PsychPortAudio back-end, from the (optional) psychtoolbox package, allowing very precise control of latency
Plug in other recording/playback back-ends with moderate development effort.
See https://audiomath.readthedocs.io for full documentation and installation instructions.
If you use audiomath in your work, please cite:
Hill NJ, Mooney SWJ & Prusky GT (2021). audiomath: a neuroscientist’s sound toolkit. Heliyon 7(2):e06236. https://doi.org/10.1016/j.heliyon.2021.e06236
@article{hill2020audiomath, author = {Hill, N. Jeremy and Mooney, Scott W. J. and Prusky, Glen T.}, title = {{audiomath}: a Neuroscientist's Sound Toolkit}, journal = {Heliyon}, volume = {7}, number = {2}, pages = {e06236}, month = {February}, year = {2021}, date = {2021-02-10}, doi = {10.1016/j.heliyon.2021.e06236}, url = {https://doi.org/10.1016/j.heliyon.2021.e06236}, }
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