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            "Programming Language :: Python :: 3",
            "Topic :: Multimedia :: Sound/Audio"
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        "description": "# Lyon's auditory model for Python\nPython port of Lyon's model calculation from Auditory Toolbox.\nOriginal version of Auditory Toolbox is written in C and MATLAB by Malcolm Slaney.\n\n## Package contents\n* Modified `soscascade.c`, `agc.c` and `sosfilters.c` (removed MEX-related part).\n* `ctypes` wrapper for `soscascade()`, `agc()` and `sosfilters()` calls.\n* Translation from MATLAB to Python for files necessary for successfull call to `LyonPassiveEar()`.\n\n## Dependecies\nIf you plan to build manually and run tests, you'll need `libcheck` installed.\nOn Ubuntu 18.10 run:\n\n``` bash\nsudo apt-get install check\n```\n\n## Installation\n### Manual\nBuild a library:\n\n``` bash\nmake lib\n```\n\nThis would result in `liblyon.so` shared library. Verify that library is properly built by running a test suite:\n\n``` bash\nmake test\n```\n\n## Usage\nThe following code computes cochleogram for a sample sound:\n\n``` python\nfrom lyon import LyonCalc\n\ncalc = LyonCalc()\nwaveform, sample_rate = load('audio/file/path.wav')\ndecimation_factor = 64\ncoch = calc.lyon_passive_ear(waveform, sample_rate, decimation_factor)\nprint(coch.shape)\n```\n\nThe code above should output shape of resulting auditory nerve response: `[<number of samples / decimation_factor>, 86]`.\n\nSee `lyon_examples.py` for examples on running other functions.\n\n## Links\n* [AuditoryToolbox page](https://engineering.purdue.edu/~malcolm/interval/1998-010/)\n* [Report describing function in toolbox](https://engineering.purdue.edu/~malcolm/interval/1998-010/AuditoryToolboxTechReport.pdf)\n\n\n",
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        "license": "Apache License 2.0",
        "maintainer": "Dmytro Tkanov",
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        "name": "lyon",
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