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        "author": "Jatin Chowdhury",
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        "description": "# Audio DSPy\n\n[![CircleCI](https://circleci.com/gh/jatinchowdhury18/audio_dspy.svg?style=svg)](https://circleci.com/gh/jatinchowdhury18/audio_dspy)\n[![codecov](https://codecov.io/gh/jatinchowdhury18/audio_dspy/branch/master/graph/badge.svg)](https://codecov.io/gh/jatinchowdhury18/audio_dspy)\n[![CodeFactor](https://www.codefactor.io/repository/github/jatinchowdhury18/audio_dspy/badge)](https://www.codefactor.io/repository/github/jatinchowdhury18/audio_dspy)\n[![Documentation Status](https://readthedocs.org/projects/audio-dspy/badge/?version=latest)](https://audio-dspy.readthedocs.io/en/latest/?badge=latest)\n\n\naudio_dspy is a Python package for audio signal processing tools.\n\nCurrent tools include:\n- EQ filter design\n- Nonlinear Processors\n- Sine Sweep Tools\n- Plotting Frequency Responses and Static Curves\n- Converting transfer functions to minimum or linear phase\n- Prony's method, and Prony's method with frequency warping\n- Modal modelling tools\n\nInstall using `pip`:\n```bash\npip install audio-dspy\n```\n\n## Examples\n\n```python\nimport audio_dspy as adsp\nimport matplotlib.pyplot as plt\n\n# Plot nonlinear static curves\nadsp.plot_static_curve (lambda x : adsp.hard_clipper (x), range=2.5)\nadsp.plot_static_curve (lambda x : adsp.soft_clipper (x), range=2.5)\nplt.title ('Comparing Nonlinearities')\nplt.legend (['Hard Clipper', 'Soft Clipper'])\n```\n\n![Pic](docs/examples/nonlins.png)\n\n```python\n# Design and plot EQ filters\nfs = 44100\nb, a = adsp.design_lowshelf (800, 2.0, 2, fs)\nadsp.plot_magnitude_response (b, a, fs=fs)\nplt.title ('Low Shelf Filter')\n```\n![Pic](docs/examples/lowshelf.png)\n\n```python\n# Perform level detection\nfrom scipy.io import wavfile\n\nfs, x = wavfile.read('drums.wav')\nx = adsp.normalize(x[:,0]) # only take left channel, normalize\nplt.plot(x, label='input')\n\nfor mode in ['peak', 'rms', 'analog']:\n    y = adsp.level_detect(x, fs, mode=mode)\n    plt.plot(y, label=mode)\n\nplt.title('Level Detection Example')\nplt.xlabel('Time [samples]')\nplt.legend()\n```\n\n![Pic](docs/examples/level_detect.png)\n\n\n",
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