audiomath

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},
}

Metadata

Release files for audiomath 1.23.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for audiomath 1.23.0
File	Interpreter	ABI	Platform	Reset
audiomath-1.23.0-py2.py3-none-any.whl 18.4 MB Oct 8, 2026	Python 3, Python 2	none	any	Details

Release files / audiomath-1.23.0-py2.py3-none-any.whl

Download URL	audiomath-1.23.0-py2.py3-none-any.whl
Size	18.4 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`074fb708800542dec68e01defb76fb55ec105aaaa3d8f3b87bc5ebf7ecc428b9`
BLAKE2b-256 checksum How to use checksums	`14b9a34eb04566b371ed58abc2f28b393aaa67b5b21f10a09cab2a9e045e7a7e`
Upload date	Oct 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.7`