hybra


Namehybra JSON
Version 2024.0.0 PyPI version JSON
download
home_pageNone
SummaryA module for trainable encoder/decoder filterbanks with auditory bias.
upload_time2024-10-14 08:40:33
maintainerNone
docs_urlNone
authorThe hybra project maintainers
requires_pythonNone
licenseBSD 3-Clause Clear License Copyright (c) 2024 Austrian Academy of Sciences All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Austrian Academy of Sciences nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
keywords auditory decoder encoder feauture extraction filberbank frames hybrid filterbanks learned filterbanks
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ![Logo](https://github.com/danedane-haider/HybrA-Filterbanks/assets/55834940/5a7f4ec5-86a3-47b8-bdd0-fd92943f8b1b)

> [!WARNING]
> Still under development.

Provide a *pth file with a dictionary containing the following keys: auditory_filters_real, auditory_filters_imag, auditory_filters_stride, n_filters, kernel_size

see auditory_filters_speech.pth as example

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "hybra",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "Auditory, Decoder, Encoder, Feauture Extraction, Filberbank, Frames, Hybrid Filterbanks, Learned Filterbanks",
    "author": "The hybra project maintainers",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/9d/e8/58053f40ed6877931eb82affdb8059c412e4492a617d53eaca946092f68f/hybra-2024.0.0.tar.gz",
    "platform": null,
    "description": "![Logo](https://github.com/danedane-haider/HybrA-Filterbanks/assets/55834940/5a7f4ec5-86a3-47b8-bdd0-fd92943f8b1b)\n\n> [!WARNING]\n> Still under development.\n\nProvide a *pth file with a dictionary containing the following keys: auditory_filters_real, auditory_filters_imag, auditory_filters_stride, n_filters, kernel_size\n\nsee auditory_filters_speech.pth as example\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause Clear License  Copyright (c) 2024 Austrian Academy of Sciences All rights reserved.  Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met:  * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Austrian Academy of Sciences nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.",
    "summary": "A module for trainable encoder/decoder filterbanks with auditory bias.",
    "version": "2024.0.0",
    "project_urls": {
        "Repository": "https://github.com/danedane-haider/Hybrid-Auditory-Filterbanks.git"
    },
    "split_keywords": [
        "auditory",
        " decoder",
        " encoder",
        " feauture extraction",
        " filberbank",
        " frames",
        " hybrid filterbanks",
        " learned filterbanks"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d9a8a14690c0d66c7b3186015c9dd9ebe12a7cf72a50a6b771f643b20fee0c54",
                "md5": "329da88a503b11e81ec6d9f1986a4ebe",
                "sha256": "ad49caa10bbaa60e885dd9fe88667481f601ac6a03015be5fbb49a20bc9a242a"
            },
            "downloads": -1,
            "filename": "hybra-2024.0.0-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "329da88a503b11e81ec6d9f1986a4ebe",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 7092,
            "upload_time": "2024-10-14T08:40:31",
            "upload_time_iso_8601": "2024-10-14T08:40:31.752432Z",
            "url": "https://files.pythonhosted.org/packages/d9/a8/a14690c0d66c7b3186015c9dd9ebe12a7cf72a50a6b771f643b20fee0c54/hybra-2024.0.0-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9de858053f40ed6877931eb82affdb8059c412e4492a617d53eaca946092f68f",
                "md5": "24718bd416f9dd2caadd0942b9bfaf47",
                "sha256": "1c5fcf4040895f3e9e086f53cd087ddc69b65352239d259bfa2abdb433ab61c2"
            },
            "downloads": -1,
            "filename": "hybra-2024.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "24718bd416f9dd2caadd0942b9bfaf47",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 82943,
            "upload_time": "2024-10-14T08:40:33",
            "upload_time_iso_8601": "2024-10-14T08:40:33.209933Z",
            "url": "https://files.pythonhosted.org/packages/9d/e8/58053f40ed6877931eb82affdb8059c412e4492a617d53eaca946092f68f/hybra-2024.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-14 08:40:33",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "danedane-haider",
    "github_project": "Hybrid-Auditory-Filterbanks",
    "github_not_found": true,
    "lcname": "hybra"
}
        
Elapsed time: 1.25899s