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forked-auditok-split-without-data-0.2.0a0
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مشاهده بیشترتوضیحات
A module for Audio/Acoustic Activity Detection
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | forked-auditok-split-without-data-0.2.0a0 |
| نام | forked-auditok-split-without-data |
| نسخه کتابخانه | 0.2.0a0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Amine Sehili |
| ایمیل نویسنده | amine.sehili@gmail.com |
| آدرس صفحه اصلی | https://github.com/phrase-loop-player/auditok |
| آدرس اینترنتی | https://pypi.org/project/forked-auditok-split-without-data/ |
| مجوز | MIT |
.. image:: doc/figures/auditok-logo.png
:align: center
.. image:: https://travis-ci.org/amsehili/auditok.svg?branch=master
:target: https://travis-ci.org/amsehili/auditok
.. image:: https://readthedocs.org/projects/auditok/badge/?version=latest
:target: http://auditok.readthedocs.org/en/latest/?badge=latest
:alt: Documentation Status
``auditok`` is an **Audio Activity Detection** tool that can process online data (read from an audio device or from standard input) as well as audio files. It can be used as a command line program or by calling its API.
A basic version of ``auditok`` will run with standard Python (>=3.4). Without installing additional dependencies, ``auditok`` can only deal with audio files in *wav* or *raw* formats. if you want more features, the following packages are needed:
- `pydub <https://github.com/jiaaro/pydub>`_ : read audio files in popular audio formats (ogg, mp3, etc.) or extract audio from a video file.
- `pyaudio <http://people.csail.mit.edu/hubert/pyaudio/>`_ : read audio data from the microphone and play back detections.
- `tqdm <https://github.com/tqdm/tqdm>`_ : show progress bar while playing audio clips.
- `matplotlib <http://matplotlib.org/>`_ : plot audio signal and detections (see figures above ).
- `numpy <http://www.numpy.org>`_ : required by matplotlib. Also used for some math operations instead of standard python if available.
Installation
------------
.. code:: bash
git clone https://github.com/amsehili/auditok.git
cd auditok
python setup.py install
Basic example
-------------
.. code:: python
from auditok import split
# split returns a generator of AudioRegion objects
audio_regions = split("audio.wav")
for region in audio_regions:
region.play(progress_bar=True)
filename = region.save("/tmp/region_{meta.start:.3f}.wav")
print("region saved as: {}".format(filename))
Example using `AudioRegion`
---------------------------
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
regions = region.split_and_plot() # or just region.splitp()
output figure:
.. image:: doc/figures/example_1.png
Working with AudioRegions
-------------------------
Beyond splitting, there are a couple of interesting operations you can do with ``AudioRegion`` objects.
Concatenate regions
===================
.. code:: python
from auditok import AudioRegion
region_1 = AudioRegion.load("audio_1.wav")
region_2 = AudioRegion.load("audio_2.wav")
region_3 = region_1 + region_2
Particularly useful if you want to join regions returned by ``split``:
.. code:: python
from auditok import AudioRegion
regions = AudioRegion.load("audio.wav").split()
gapless_region = sum(regions)
Repeat a region
===============
Multiply by a positive integer:
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
region_x3 = region * 3
Make slices of equal size out of a region
=========================================
Divide by a positive integer:
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
regions = regions / 5
assert sum(regions) == region
Make audio slices of arbitrary size
===================================
Slicing an ``AudioRegion`` can be interesting in many situations. You can for example remove a fixed-size portion of audio data from the beginning or the end of a region or crop a region by an arbitrary amount as a data augmentation strategy, etc.
The most accurate way to slice an ``AudioRegion`` is to use indices that directly refer to raw audio samples. In the following example, assuming that the sampling rate of audio data is 16000, you can extract a 5-second region from main region, starting from the 20th second as follows:
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
start = 20 * 16000
stop = 25 * 16000
five_second_region = region[start:stop]
This allows you to practically start and stop at any sample within the region. Just as with a `list` you can omit one of `start` and `stop`, or both. You can also use negative indices:
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
start = -3 * region.sr # `sr` is an alias of `sampling_rate`
three_last_seconds = region[start:]
While slicing by raw samples is accurate, slicing with temporal indices is more intuitive. You can do so by accessing the ``millis`` or ``seconds`` views of ``AudioRegion`` (or their shortcut alias ``ms`` and ``sec``/``s``).
With the ``millis`` view:
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
five_second_region = region.millis[5000:10000]
or with the ``seconds`` view
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
five_second_region = region.seconds[5:10]
Get an array of audio samples
=============================
.. code:: python
from auditok import AudioRegion
region = AudioRegion.load("audio.wav")
samples = region.samples
If ``numpy`` is installed, this will return a ``numpy.ndarray``. If audio data is mono the returned array is 1D, otherwise it's 2D. If ``numpy`` is not installed this will return a standard ``array.array`` for mono data, and a list of ``array.array`` for multichannel data.
Alternatively you can use:
.. code:: python
import numpy as np
region = AudioRegion.load("audio.wav")
samples = np.asarray(region)
License
-------
MIT.
نحوه نصب
نصب پکیج whl forked-auditok-split-without-data-0.2.0a0:
pip install forked-auditok-split-without-data-0.2.0a0.whl
نصب پکیج tar.gz forked-auditok-split-without-data-0.2.0a0:
pip install forked-auditok-split-without-data-0.2.0a0.tar.gz