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1aubio
2=====
3
4aubio is a collection of tools for music and audio analysis.
5
6This package integrates the aubio library with [NumPy] to provide a set of
7efficient tools to process and analyse audio signals, including:
8
9- read audio from any media file, including videos and remote streams
10- high quality phase vocoder, spectral filterbanks, and linear filters
11- Mel-Frequency Cepstrum Coefficients and standard spectral descriptors
12- detection of note attacks (onset)
13- pitch tracking (fundamental frequency estimation)
14- beat detection and tempo tracking
15
16aubio works with both Python 2 and Python 3.
17
18Links
19-----
20
21- [module documentation][doc_python]
22- [installation instructions][doc_python_install]
23- [aubio manual][manual]
24- [aubio homepage][homepage]
25- [issue tracker][bugtracker]
26
27Demos
28-----
29
30Some examples are available in the [`python/demos`][demos_dir] folder. Each
31script is a command line program which accepts one ore more argument.
32
33**Notes**: installing additional modules is required to run some of the demos.
34
35### Analysis
36
37- `demo_source.py` uses aubio to read audio samples from media files
38- `demo_onset_plot.py` detects attacks in a sound file and plots the results
39  using [matplotlib]
40- `demo_pitch.py` looks for fundamental frequency in a sound file and plots the
41  results using [matplotlib]
42- `demo_spectrogram.py`, `demo_specdesc.py`, `demo_mfcc.py` for spectral
43  analysis.
44
45### Real-time
46
47- `demo_pyaudio.py` and `demo_tapthebeat.py` use [pyaudio]
48- `demo_pysoundcard_play.py`, `demo_pysoundcard.py` use [PySoundCard]
49- `demo_alsa.py` uses [pyalsaaudio]
50
51### Others
52
53- `demo_timestretch.py` can change the duration of an input file and write the
54  new sound to disk,
55- `demo_wav2midi.py` detects the notes in a file and uses [mido] to write the
56  results into a MIDI file
57
58### Example
59
60Use `demo_timestretch_online.py` to slow down `loop.wav`, write the results in
61`stretched_loop.wav`:
62
63    $ python demo_timestretch_online.py loop.wav stretched_loop.wav 0.92
64
65Built with
66----------
67
68The core of aubio is written in C for portability and speed. In addition to
69[NumPy], aubio can be optionally built to use one or more of the following
70libraries:
71
72- media file reading:
73
74    - [ffmpeg] / [avcodec] to decode and read audio from almost any format,
75    - [libsndfile] to read audio from uncompressed sound files,
76    - [libsamplerate] to re-sample audio signals,
77    - [CoreAudio] to read all media formats supported by macOS, iOS, and tvOS.
78
79- hardware acceleration:
80
81    - [Atlas] and [Blas], for accelerated vector and matrix computations,
82    - [fftw3], to compute fast Fourier Transforms of any size,
83    - [Accelerate] for accelerated FFT and matrix computations (macOS/iOS),
84    - [Intel IPP], accelerated vector computation and FFT implementation.
85
86[ffmpeg]: https://ffmpeg.org
87[avcodec]: https://libav.org
88[libsndfile]: http://www.mega-nerd.com/libsndfile/
89[libsamplerate]: http://www.mega-nerd.com/SRC/
90[CoreAudio]: https://developer.apple.com/reference/coreaudio
91[Atlas]: http://math-atlas.sourceforge.net/
92[Blas]: https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms
93[fftw3]: http://fftw.org
94[Accelerate]: https://developer.apple.com/reference/accelerate
95[Intel IPP]: https://software.intel.com/en-us/intel-ipp
96
97[demos_dir]:https://github.com/aubio/aubio/tree/master/python/demos
98[pyaudio]:https://people.csail.mit.edu/hubert/pyaudio/
99[PySoundCard]:https://github.com/bastibe/PySoundCard
100[pyalsaaudio]:https://larsimmisch.github.io/pyalsaaudio/
101[mido]:https://mido.readthedocs.io
102
103[manual]: https://aubio.org/manual/latest/
104[doc_python]: https://aubio.org/manual/latest/python.html
105[doc_python_install]: https://aubio.org/manual/latest/python_module.html
106[homepage]: https://aubio.org
107[NumPy]: https://www.numpy.org
108[bugtracker]: https://github.com/aubio/aubio/issues
109[matplotlib]:https://matplotlib.org/
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