Audio fingerprinting and recognition algorithm implemented in Python
See the explanation here:
`http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/`__
Dejavu can memorize recorded audio by listening to it once and fingerprinting
it. Then by playing a song and recording microphone input or on disk file,
Dejavu attempts to match the audio against the fingerprints held in the
database, returning the song or recording being played.
__ http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/
This package is a extended verison of willdrevo's Dejavu.
Raw data
{
"_id": null,
"home_page": "http://github.com/reharish/pyAudioFingerprint",
"name": "PyAudioFingerprint",
"maintainer": "Will Drevo",
"docs_url": null,
"requires_python": "",
"maintainer_email": "harishbaburengaraj@gmail.com",
"keywords": "python,audio,fingerprinting,music,numpy,landmark",
"author": "reharish",
"author_email": "harishbaburengaraj@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/e1/6e/425cc68484051a50a0d1fedc529d7286d8f4cbac43c1e03904577e766578/PyAudioFingerprint-0.1.0.tar.gz",
"platform": "Unix",
"description": "\nAudio fingerprinting and recognition algorithm implemented in Python\n\nSee the explanation here:\n\n`http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/`__\n\nDejavu can memorize recorded audio by listening to it once and fingerprinting\nit. Then by playing a song and recording microphone input or on disk file,\nDejavu attempts to match the audio against the fingerprints held in the\ndatabase, returning the song or recording being played.\n\n__ http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/\n\nThis package is a extended verison of willdrevo's Dejavu.\n\n",
"bugtrack_url": null,
"license": "MIT License",
"summary": "Audio Fingerprinting in Python with SQLite DB",
"version": "0.1.0",
"project_urls": {
"Homepage": "http://github.com/reharish/pyAudioFingerprint"
},
"split_keywords": [
"python",
"audio",
"fingerprinting",
"music",
"numpy",
"landmark"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "3ee3f637ab032492243d956a96a2537365c7f5ac2e812e6890fd0046cb1b55bd",
"md5": "1ebf1dd5712d8febed6feed7bea4d309",
"sha256": "5b360e276812b1fee7c32b97a3cc5ff8046b9201296c12166c06519fd637b077"
},
"downloads": -1,
"filename": "PyAudioFingerprint-0.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "1ebf1dd5712d8febed6feed7bea4d309",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 33729,
"upload_time": "2023-05-19T07:53:55",
"upload_time_iso_8601": "2023-05-19T07:53:55.167306Z",
"url": "https://files.pythonhosted.org/packages/3e/e3/f637ab032492243d956a96a2537365c7f5ac2e812e6890fd0046cb1b55bd/PyAudioFingerprint-0.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e16e425cc68484051a50a0d1fedc529d7286d8f4cbac43c1e03904577e766578",
"md5": "483e19e314e1bb48f6e3fe0170130346",
"sha256": "9c8796853cc118869d3447e2ec309805641418fe037dfa7996383dafc5afcb8f"
},
"downloads": -1,
"filename": "PyAudioFingerprint-0.1.0.tar.gz",
"has_sig": false,
"md5_digest": "483e19e314e1bb48f6e3fe0170130346",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 32153,
"upload_time": "2023-05-19T07:53:56",
"upload_time_iso_8601": "2023-05-19T07:53:56.651335Z",
"url": "https://files.pythonhosted.org/packages/e1/6e/425cc68484051a50a0d1fedc529d7286d8f4cbac43c1e03904577e766578/PyAudioFingerprint-0.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-05-19 07:53:56",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "reharish",
"github_project": "pyAudioFingerprint",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "pyaudiofingerprint"
}