{ "info": { "author": "chimera0", "author_email": "ai-brain-lab@accel-brain.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Healthcare Industry", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License (GPL)", "Programming Language :: Python :: 3", "Topic :: Multimedia :: Sound/Audio", "Topic :: Scientific/Engineering :: Medical Science Apps." ], "description": "Binaural Beats and Monaural Beats with Python\n=============================================\n\n``AccelBrainBeat`` is a Python library for creating the binaural beats\nor monaural beats. You can play these beats and generate wav files. The\nfrequencys can be optionally selected.\n\nDescription\n-----------\n\nThis Python script enables you to handle your mind state by a kind of\n\"Brain-Wave Controller\" which is generally known as Biaural beat or\nMonauarl beats in a simplified method.\n\nDocumentation\n-------------\n\nFull documentation is available on\nhttps://code.accel-brain.com/Binaural-Beat-and-Monaural-Beat-with-python/\n. This document contains information on functionally reusability,\nfunctional scalability and functional extensibility.\n\nDemonstration IN Movie\n----------------------\n\n- `Drive to design the brain's level\n upper `__\n (Youtube)\n\nInstallation\n------------\n\nInstall using pip:\n\n.. code:: bash\n\n pip install AccelBrainBeat\n\nSource code\n~~~~~~~~~~~\n\nThe source code is currently hosted on GitHub.\n\n- `Binaural-Beat-and-Monaural-Beat-with-python `__\n\nPython package index(PyPI)\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nBinary installers for the latest released version are available at the\nPython package index.\n\n- `AccelBrainBeat: Python Package\n Index `__\n\nDependencies\n~~~~~~~~~~~~\n\n- `NumPy `__: v1.7.0 or higher\n\nTo play the beats on console\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nIf you want to not only output wav files but also play the beats on\nconsole, `PyAudio `__\n(v0.2.9 or higher) must be installed.\n\nUse-case on console\n-------------------\n\nYou can study or work while listening to the Binaural or Monauarl beats.\nBefore starting your job, run a batch program on console.\n\nCreate \"Binaural Beat\" and output wav file\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nRun the batch program:\n`save\\_binaural\\_beat.py `__.\n\n.. code:: bash\n\n python bat/save_binaural_beat.py -o binaural_beat.wav -l 400 -r 430 -t 60 -v 0.01\n\nThe command line arguments is as follows.\n\n.. code:: bash\n\n python bat/save_binaural_beat.py -h\n\n::\n\n usage: save_binaural_beat.py [-h] [-o OUTPUT_FILE_NAME] [-l LEFT] [-r RIGHT]\n [-t TIME] [-v VOLUME]\n\n Create the Binaural Beat and save wav file.\n\n optional arguments:\n -h, --help show this help message and exit\n -o OUTPUT_FILE_NAME, --output_file_name OUTPUT_FILE_NAME\n Output file name.\n -l LEFT, --left LEFT Left frequencys (Hz).\n -r RIGHT, --right RIGHT\n Right frequencys (Hz).\n -t TIME, --time TIME Play time. This is per seconds.\n -v VOLUME, --volume VOLUME\n Sound volume.\n\nCreate \"Monaural Beat\" and output wav file\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nRun the batch program:\n`save\\_monaural\\_beat.py `__.\n\n.. code:: bash\n\n python bat/save_monaural_beat.py -o monaural_beat.wav -l 400 -r 430 -t 60 -v 0.01\n\nThe command line arguments is as follows.\n\n.. code:: bash\n\n python bat/save_monaural_beat.py -h\n\n::\n\n usage: save_monaural_beat.py [-h] [-o OUTPUT_FILE_NAME] [-l LEFT] [-r RIGHT]\n [-t TIME] [-v VOLUME]\n\n Create the Monaural Beat and save wav file.\n\n optional arguments:\n -h, --help show this help message and exit\n -o OUTPUT_FILE_NAME, --output_file_name OUTPUT_FILE_NAME\n Output file name.\n -l LEFT, --left LEFT Left frequencys (Hz).\n -r RIGHT, --right RIGHT\n Right frequencys (Hz).\n -t TIME, --time TIME Play time. This is per seconds.\n -v VOLUME, --volume VOLUME\n Sound volume.\n\nCreate and play \"Binaural Beat\" on console\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nRun the batch program:\n`play\\_binaural\\_beat.py `__.\n\n.. code:: bash\n\n python play_binaural_beat.py -l 400 -r 430 -t 60 -v 0.01\n\nThe command line arguments is as follows.\n\n.. code:: bash\n\n python bat/play_binaural_beat.py -h\n\n::\n\n usage: play_binaural_beat.py [-h] [-l LEFT] [-r RIGHT] [-t TIME] [-v VOLUME]\n\n Create and play the Binaural Beat.\n\n optional arguments:\n -h, --help show this help message and exit\n -l LEFT, --left LEFT Left frequencys (Hz).\n -r RIGHT, --right RIGHT\n Right frequencys (Hz).\n -t TIME, --time TIME Play time. This is per seconds.\n -v VOLUME, --volume VOLUME\n Sound volume.\n\nCreate and play \"Monaural Beat\" on console\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nRun the batch program:\n`play\\_monaural\\_beat.py `__.\n\n.. code:: bash\n\n python bat/play_monaural_beat_beat.py -l 400 -r 430 -t 60 -v 0.01\n\nThe command line arguments is as follows.\n\n.. code:: bash\n\n python bat/play_monaural_beat.py -h\n\n::\n\n usage: play_monaural_beat.py [-h] [-l LEFT] [-r RIGHT] [-t TIME] [-v VOLUME]\n\n Create and play the Monaural Beat.\n\n optional arguments:\n -h, --help show this help message and exit\n -l LEFT, --left LEFT Left frequencys (Hz).\n -r RIGHT, --right RIGHT\n Right frequencys (Hz).\n -t TIME, --time TIME Play time. This is per seconds.\n -v VOLUME, --volume VOLUME\n Sound volume.\n\nUse-case for coding\n-------------------\n\nYou can use this library as a module by executing an import statement in\nyour Python source file.\n\nCreate wav file of \"Binaural Beat\"\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCall the method.\n\n.. code:: python\n\n from AccelBrainBeat.brainbeat.binaural_beat import BinauralBeat\n\n brain_beat = BinauralBeat() # for binaural beats.\n brain_beat.save_beat(\n output_file_name=\"save_binaural_beat.wav\",\n frequencys=(400, 430),\n play_time=10,\n volume=0.01\n )\n\n- ``output_file_name`` is wav file name or path.\n\nCreate wav file of \"Monaural Beat\"\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe interface of monaural beats is also same as the binaural beats.\n\n.. code:: python\n\n from AccelBrainBeat.brainbeat.monaural_beat import MonauralBeat\n\n brain_beat = MonauralBeat() # for monaural beats.\n brain_beat.save_beat(\n output_file_name=\"save_monaural_beat.wav\",\n frequencys=(400, 430),\n play_time=10,\n volume=0.01\n )\n\nCreate and play \"Binaural Beat\"\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nFor example, if ``400`` Hz was played in left ear and ``430`` Hz in the\nright, then the binaural beats would have a frequency of 30 Hz.\n\nImport Python and Cython modules.\n\n.. code:: python\n\n from AccelBrainBeat.brainbeat.binaural_beat import BinauralBeat\n\nInstantiate objects and call the method.\n\n.. code:: python\n\n brain_beat = BinauralBeat()\n\n brain_beat.play_beat(\n frequencys=(400, 430),\n play_time=10,\n volume=0.01\n )\n\n- The type of ``frequencys`` is tuple. This is a pair of both\n frequencys.\n- ``play_time`` is playing times(per seconds).\n- ``volume`` is the sound volume. It depends on your environment.\n\nCreate and play \"Monaural Beat\"\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe interface of monaural beats is same as the binaural beats.\n``MonoauralBeat`` is functionally equivalent to ``BinauralBeat``.\n\n.. code:: python\n\n from AccelBrainBeat.brainbeat.monaural_beat import MonauralBeat\n\n brain_beat = MonauralBeat()\n\n brain_beat.play_beat(\n frequencys=(400, 430),\n play_time=10,\n volume=0.01\n )\n\nLicence\n-------\n\n- `GPL2 `__\n\nRelated products\n----------------\n\nBinaural beats and Monauarl beats can be implemented by not only Python\nbut also Unity3D. I developed Unity3D package: `Immersive Brain's Level\nUpper by Binaural Beat and Monaural\nBeat. `__.\n\nAs the kind of \"Brain-Wave Controller\", this Unity3D package is\nfunctionally equivalent to Python\\`s library.\n\nMore detail\n-----------\n\nThe function of this library is inducing you to be extreme immersive\nmind state on the path to peak performance. You can handle your mind\nstate by using this library which is able to control your brain waves by\nthe binaural beats and the monaural beats.\n\nConcept of Binaural beats and Monauarl beats\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nAccording to a popular theory, brain waves such as Delta, Theta, Alpha,\nBeta, and Gamma rhythms tend to be correlated with mind states. The\ndelta waves(1-3 Hz) are regarded as the slowest brain waves that are\ntypically produced during the deep stages of sleep. The theta waves(4-7\nHz) are offen induced by the meditative state or focusing the mind. The\nalpha waves(8-12 Hz) are associate with relaxed state. The beta\nwaves(13-29 Hz) are normal waking consciousness. The Gamma waves(30-100\nHz) are the fastest of the brain waves and associated with peak\nconcentration and the brain's optimal frequency for cognitive\nfunctioning.\n\nBy a theory of the binaural beats, signals of two different frequencies\nfrom headphone or earphone are presented separately, one to each ear,\nyour brain detects the phase variation between the frequencies and tries\nto reconcile that difference. The effect on the brain waves depends on\nthe difference in frequencies of each tone. For example, if 400 Hz was\nplayed in one ear and 430 in the other, then the binaural beats would\nhave a frequency of 30 Hz.\n\nThe monaural beats are similar to the binaural beats. But they vary in\ndistinct ways. The binaural beats seem to be \"created\" or perceived by\ncortical areas combining the two different frequencies. On the other\nhand, the monaural beats are due to direct stimulation of the basilar\nmembrane. This makes it possible to hear the beats.\n\nPlease choose either binaural beets or monaural beats. If you set up 5\nHz, your brain waves and the frequency can be tuned and then you are\nable to be the meditative state or focusing the mind. Or what you choose\nto be relaxed state is the alpha waves(8-12 Hz).\n\nRelated PoC\n~~~~~~~~~~~\n\n- `\u4ecf\u6559\u306e\u793e\u4f1a\u69cb\u9020\u3068\u30de\u30a4\u30f3\u30c9\u30d5\u30eb\u30cd\u30b9\u7791\u60f3\u306e\u610f\u5473\u8ad6 `__\n (Japanese)\n\n - `\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u306e\u958b\u767a\uff1a\u30d0\u30a4\u30ce\u30fc\u30e9\u30eb\u30d3\u30fc\u30c8 `__\n\nAuthor\n------\n\n- chimera0(RUM)\n\nAuthor's websites\n~~~~~~~~~~~~~~~~~\n\n- `Accel Brain `__ (Japanese)\n\nReferences\n~~~~~~~~~~\n\n- Brandy, Queen., et al., (2003) \u201cBinaural Beat Induced Theta EEG\n Activity and Hypnotic Susceptibility : Contradictory Results and\n Technical Considerations,\u201d American Journal of Clinical Hypnosis,\n pp295-309.\n- Green, Barry., Gallwey, W. Timothy., (1986) The Inner Game of Music,\n Doubleday.\n- Kennerly, Richard Cauley., (1994) An empirical investigation into the\n effect of beta frequency binaural beat audio signals on four measures\n of human memory, Department of Psychology, West Georgia College,\n Carrolton, Georgia.\n- Kim, Jeansok J., Lee, Hongjoo J., Han, Jung-Soo., Packard, Mark G.\n (2001) \u201cAmygdala Is Critical for Stress-Induced Modulation of\n Hippocampal Long-Term Potentiation and Learning,\u201d The Journal of\n Neuroscience, Vol. 21, pp5222-5228.\n- LeDoux, Joseph. (1998) The emotional brain : the mysterious\n underpinnings of emotional life, London : Weidenfeld & Nicolson.\n- McEwen, Bruce S., Sapolsky, Robert M. (1995) \u201cStress and cognitive\n function,\u201d Current Opinion in Neurobiology, Vol. 5, pp205-216.\n- Oster, Gerald., (1973) \u201cAuditory Beats in the Brain,\u201d Scientific\n American, pp94-102.\n- Radford, Benjamin., (2001) \u201cPokemon Contagion: Photosensitive\n Epilepsy or Mass Psychogenic Illness?,\u201d Southern Medical Journal,\n Vol. 94, No. 2, pp197-204.\n- Steward, Oswald., (2000) Functional neuroscience, Springer.\n- Swann, R., et al. (1982) The Brain ? A User\u2019s Manual, New York: G. P.\n Putnam\u2019s Sons.\n- Takeo, Takahashi., et al., (1999) \u201cPokemon seizures,\u201d Neurol J\n Southeast Asia, Vol. 4, pp1-11.\n- Vollenweider., Franz X., Geyer., Mark A. (2001) \u201cA systems model of\n altered consciousness: Integrating natural and drug-induced\n psychoses,\u201d Brain Research Bulletin, Vol. 56, No. 5, pp495-507.\n- Wahbeh, Helane., Calabrese, Carlo., Zwickey, Heather., (2007)\n \u201cBinaural Beat Technology in Humans : A Pilot Study to Assess\n Psychologic and Physiologic Effects,\u201d The Journal of Alternative and\n Complementary Medicine, Vol. 13, No. 1, pp25-32.\n- Westman, Jack C., Walters, James R. (1981) \u201cNoise and Stress : A\n Comprehensive Approach,\u201d Environmental Health Perspectives, Vol. 41,\n pp291-309.\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/chimera0/accel-brain-code/tree/master/Binaural-Beat-and-Monaural-Beat-with-python", "keywords": "binaural monaural beats brain wave wav audio", "license": "GPL2", "maintainer": "", "maintainer_email": "", "name": "AccelBrainBeat", "package_url": "https://pypi.org/project/AccelBrainBeat/", "platform": "", "project_url": "https://pypi.org/project/AccelBrainBeat/", "project_urls": { "Homepage": "https://github.com/chimera0/accel-brain-code/tree/master/Binaural-Beat-and-Monaural-Beat-with-python" }, "release_url": "https://pypi.org/project/AccelBrainBeat/1.0.5/", "requires_dist": [ "numpy" ], "requires_python": "", "summary": "AccelBrainBeat is a Python library for creating the binaural beats or monaural beats. 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