Metadata-Version: 2.1
Name: audiomath
Version: 1.18.0
Summary: A package for recording, reading, manipulating, playing and writing sound files
Home-page: https://audiomath.readthedocs.io
Author: Jeremy Hill
Author-email: jezhill@gmail.com
License: GPL v3+
Platform: UNKNOWN
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4
Description-Content-Type: text/x-rst
License-File: COPYING
Requires-Dist: numpy
Requires-Dist: psutil ; platform_system == "Windows"
Requires-Dist: comtypes ; platform_system == "Windows"
Provides-Extra: audioread
Requires-Dist: audioread ; extra == 'audioread'
Provides-Extra: plotting
Requires-Dist: matplotlib ; extra == 'plotting'
Provides-Extra: stretching
Requires-Dist: librosa ; extra == 'stretching'

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},
      }



