{
    "info": {
        "author": "Hadrien Titeux (CoML)",
        "author_email": "hadrien.titeux@ens.fr",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering"
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        "description": "# pyannote-shennong-features\nA feature extractor for Pyannote that is based on the Shennong library\n\n## Installation\n\nThis library depends on Shennong, which is available on conda. \nThus, make sure you're in a conda environment **where pyannote-audio has been installed already** and run\n\n```yaml\nconda install -c coml shennong\n```\n\nThen you can pip-install the library in a regular way:\n\n```\npip install pyannote.features.shennong\n```\n\n## Pyannote Configuration\n\nTo use features from this library, this is the kind of configuration you\nshould add your `config.yml` file:\n\n```yaml\nfeature_extraction:\n   name: pyannote.features.ShennongMfcc\n   params:\n       coefs: 19\n       e: True\n       D: True\n       DD: True\n       mfccWindowType: 'hanning'\n       mfccLowFreq: 20\n       mfccHighFreq: -100 # Real value will be (f_nyquist - 100)\n       with_pitch: True\n       with_cmvn: False\n       duration: 0.025\n       step: 0.010\n       sample_rate: 16000\n       pitchFmin: 20\n       pitchFmax: 500\n```",
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        "name": "pyannote.features.shennong",
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        "summary": "A feature extraction extension for the pyannote framework",
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