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        "author": "Paul Brossier",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Topic :: Multimedia :: Sound/Audio :: Analysis",
            "Topic :: Multimedia :: Sound/Audio :: Sound Synthesis",
            "Topic :: Software Development :: Libraries"
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        "description": "aubio is a collection of tools for music and audio analysis.\n\nThis package integrates the aubio library with [NumPy] to provide a set of\nefficient tools to process and analyse audio signals, including:\n\n- read audio from any media file, including videos and remote streams\n- high quality phase vocoder, spectral filterbanks, and linear filters\n- Mel-Frequency Cepstrum Coefficients and standard spectral descriptors\n- detection of note attacks (onset)\n- pitch tracking (fundamental frequency estimation)\n- beat detection and tempo tracking\n\naubio works with both Python 2 and Python 3.\n\nLinks\n-----\n\n- [module documentation][doc_python]\n- [installation instructions][doc_python_install]\n- [aubio manual][manual]\n- [aubio homepage][homepage]\n- [issue tracker][bugtracker]\n\nDemos\n-----\n\nSome examples are available in the [`python/demos` folder][demos_dir]. Each\nscript is a command line program which accepts one ore more argument.\n\n**Notes**: installing additional modules is required to run some of the demos.\n\n### Analysis\n\n- `demo_source.py` uses aubio to read audio samples from media files\n- `demo_onset_plot.py` detects attacks in a sound file and plots the results\n  using [matplotlib]\n- `demo_pitch.py` looks for fundamental frequency in a sound file and plots the\n  results using [matplotlib]\n- `demo_spectrogram.py`, `demo_specdesc.py`, `demo_mfcc.py` for spectral\n  analysis.\n\n### Real-time\n\n- `demo_pyaudio.py` and `demo_tapthebeat.py` use [pyaudio]\n- `demo_pysoundcard_play.py`, `demo_pysoundcard.py` use [PySoundCard]\n- `demo_alsa.py` uses [pyalsaaudio]\n\n### Others\n\n- `demo_timestretch.py` can change the duration of an input file and write the\n  new sound to disk,\n- `demo_wav2midi.py` detects the notes in a file and uses [mido] to write the\n  results into a MIDI file\n\n### Example\n\nUse `demo_timestretch_online.py` to slow down `loop.wav`, write the results in\n`stretched_loop.wav`:\n\n    $ python demo_timestretch_online.py loop.wav stretched_loop.wav 0.92\n\nBuilt with\n----------\n\nThe core of aubio is written in C for portability and speed. In addition to\n[NumPy], aubio can be optionally built to use one or more of the following\nlibraries:\n\n- media file reading:\n\n    - [ffmpeg] / [avcodec] to decode and read audio from almost any format,\n    - [libsndfile] to read audio from uncompressed sound files,\n    - [libsamplerate] to re-sample audio signals,\n    - [CoreAudio] to read all media formats supported by macOS, iOS, and tvOS.\n\n- hardware acceleration:\n\n    - [Atlas] and [Blas], for accelerated vector and matrix computations,\n    - [fftw3], to compute fast Fourier Transforms of any size,\n    - [Accelerate] for accelerated FFT and matrix computations (macOS/iOS),\n    - [Intel IPP], accelerated vector computation and FFT implementation.\n\n[ffmpeg]: https://ffmpeg.org\n[avcodec]: https://libav.org\n[libsndfile]: http://www.mega-nerd.com/libsndfile/\n[libsamplerate]: http://www.mega-nerd.com/SRC/\n[CoreAudio]: https://developer.apple.com/reference/coreaudio\n[Atlas]: http://math-atlas.sourceforge.net/\n[Blas]: https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms\n[fftw3]: http://fftw.org\n[Accelerate]: https://developer.apple.com/reference/accelerate\n[Intel IPP]: https://software.intel.com/en-us/intel-ipp\n\n[demos_dir]:https://github.com/aubio/aubio/tree/master/python/demos\n[pyaudio]:https://people.csail.mit.edu/hubert/pyaudio/\n[PySoundCard]:https://github.com/bastibe/PySoundCard\n[pyalsaaudio]:https://larsimmisch.github.io/pyalsaaudio/\n[mido]:https://mido.readthedocs.io\n\n[manual]: https://aubio.org/manual/latest/\n[doc_python]: https://aubio.org/manual/latest/python.html\n[doc_python_install]: https://aubio.org/manual/latest/python_module.html\n[homepage]: https://aubio.org\n[NumPy]: https://www.numpy.org\n[bugtracker]: https://github.com/aubio/aubio/issues\n[matplotlib]:https://matplotlib.org/",
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        "license": "GNU/GPL version 3",
        "maintainer": "Paul Brossier",
        "maintainer_email": "piem@aubio.org",
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