{
    "info": {
        "author": "Daniel Povey",
        "author_email": "dpovey@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Utilities"
        ],
        "description": "# filtering\n\nUtilities for resampling and filtering audio data\n\nThis repository exports a Python package `lilfilter` containing certain\nutilities for filtering and resampling audio data.\n\n\nOne quite-useful thing is class Resampler:\n```\npython3\n>>> import lilfilter\n>>> # ... let a be a Torch tensor of size (num_channels, num_samples)\n>>> # that we want to downsample from 42.1kHz to 16kHz.  Note,\n>>> # the sampling rates must be integers; only their ratio\n>>> # matters.\n>>> r = lilfilter.Resampler(42100, 16000, dtype=torch.float32)\n>>> b = r.resample(a)\n```\n\nAnother thing that's useful is class Multistreamer, which can turn a\nsignal into multiple parallel signals at a lower sampling rate, where\npairs of those signals represent the (real,complex) part of one\ncomplex frequency band of the input.\n```\n>>> import lilfilter\n>>> num_freq_bands = 8\n>>> m = lilfilter.Multistreamer(num_freq_bands)\n>>>\n>>> # ... let a be a Torch tensor of size (num_channels, num_samples)\n>>> # that we want to `demultiplex`.\n>>>\n>>> b = m.split(a)\n>>> # now b is of size (num_channels, 2, num_freq_bands, num_samples/num_freq_bands)\n>>> # (note: the dim of the last axis may be slightly different from that number).\n>>> # You can in principle manipulate b somehow, e.g. do some kind of machine\n>>> # learning with it, and then reconstruct to the original format:\n>>>\n>>> c = m.merge(b)\n>>> # now c is of size (num_channels, 8*(num_samples/8)) and will be extremely\n>>> # close to a.\n```",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/danpovey/filtering",
        "keywords": "resampling,audio",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "lilfilter",
        "package_url": "https://pypi.org/project/lilfilter/",
        "platform": "",
        "project_url": "https://pypi.org/project/lilfilter/",
        "project_urls": {
            "Homepage": "https://github.com/danpovey/filtering"
        },
        "release_url": "https://pypi.org/project/lilfilter/0.0.1/",
        "requires_dist": null,
        "requires_python": ">=3.5",
        "summary": "Utilities for filtering and resampling signals",
        "version": "0.0.1",
        "yanked": false,
        "yanked_reason": null
    },
    "last_serial": 6035076,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2dd2d9e0b7a08fde030e7a63fb53697c",
                    "sha256": "16b68bf18abe6e28df8c40a77e579c3514a963eb39a6834ed11ea6eb8d647f1c"
                },
                "downloads": -1,
                "filename": "lilfilter-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "2dd2d9e0b7a08fde030e7a63fb53697c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.5",
                "size": 69216,
                "upload_time": "2019-10-26T20:25:28",
                "upload_time_iso_8601": "2019-10-26T20:25:28.146992Z",
                "url": "https://files.pythonhosted.org/packages/6d/67/aeb79c636d5bc349e3b935aa4a498e9166ebd224529d68924c5cf186bef3/lilfilter-0.0.1.tar.gz",
                "yanked": false,
                "yanked_reason": null
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "2dd2d9e0b7a08fde030e7a63fb53697c",
                "sha256": "16b68bf18abe6e28df8c40a77e579c3514a963eb39a6834ed11ea6eb8d647f1c"
            },
            "downloads": -1,
            "filename": "lilfilter-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "2dd2d9e0b7a08fde030e7a63fb53697c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 69216,
            "upload_time": "2019-10-26T20:25:28",
            "upload_time_iso_8601": "2019-10-26T20:25:28.146992Z",
            "url": "https://files.pythonhosted.org/packages/6d/67/aeb79c636d5bc349e3b935aa4a498e9166ebd224529d68924c5cf186bef3/lilfilter-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "vulnerabilities": []
}