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auditok-0.2.0
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مشاهده بیشترتوضیحات
A module for Audio/Acoustic Activity Detection
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | auditok-0.2.0 |
| نام | auditok |
| نسخه کتابخانه | 0.2.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Amine Sehili |
| ایمیل نویسنده | amine.sehili@gmail.com |
| آدرس صفحه اصلی | http://github.com/amsehili/auditok/ |
| آدرس اینترنتی | https://pypi.org/project/auditok/ |
| مجوز | MIT |
auditok, an AUDIo TOKenization tool
===================================
.. image:: https://github.com/amsehili/auditok/raw/master/doc/figures/auditok-logo.png
:align: center
.. image:: https://travis-ci.org/amsehili/auditok.svg?branch=master
:target: https://travis-ci.org/amsehili/auditok
:alt: Build status
.. image:: https://readthedocs.org/projects/auditok/badge/?version=v0.2.0
:target: https://auditok.readthedocs.io/en/v0.2.0/
: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.
The documentation for this version can be found on
`readthedocs. <https://auditok.readthedocs.io/en/v0.2.0/>`_
Installation
------------
A basic version of ``auditok`` will run with standard Python (>=3.4). However,
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 <https://people.csail.mit.edu/hubert/pyaudio>`_ : read audio data from the microphone and play audio back.
- `tqdm <https://github.com/tqdm/tqdm>`_ : show progress bar while playing audio clips.
- `matplotlib <https://matplotlib.org/stable/index.html>`_ : plot audio signal and detections.
- `numpy <https://numpy.org/>`_ : required by matplotlib. Also used for some math operations instead of standard python if available.
Install the latest stable version with pip:
.. code:: bash
sudo pip install auditok
Install the latest development version from github:
.. code:: bash
pip install git+https://github.com/amsehili/auditok
or
.. code:: bash
git clone https://github.com/amsehili/auditok.git
cd auditok
python setup.py install
Basic example
-------------
.. code:: python
import auditok
# split returns a generator of AudioRegion objects
audio_regions = auditok.split(
"audio.wav",
min_dur=0.2, # minimum duration of a valid audio event in seconds
max_dur=4, # maximum duration of an event
max_silence=0.3, # maximum duration of tolerated continuous silence within an event
energy_threshold=55 # threshold of detection
)
for i, r in enumerate(audio_regions):
# Regions returned by `split` have 'start' and 'end' metadata fields
print("Region {i}: {r.meta.start:.3f}s -- {r.meta.end:.3f}s".format(i=i, r=r))
# play detection
# r.play(progress_bar=True)
# region's metadata can also be used with the `save` method
# (no need to explicitly specify region's object and `format` arguments)
filename = r.save("region_{meta.start:.3f}-{meta.end:.3f}.wav")
print("region saved as: {}".format(filename))
output example:
.. code:: bash
Region 0: 0.700s -- 1.400s
region saved as: region_0.700-1.400.wav
Region 1: 3.800s -- 4.500s
region saved as: region_3.800-4.500.wav
Region 2: 8.750s -- 9.950s
region saved as: region_8.750-9.950.wav
Region 3: 11.700s -- 12.400s
region saved as: region_11.700-12.400.wav
Region 4: 15.050s -- 15.850s
region saved as: region_15.050-15.850.wav
Split and plot
--------------
Visualize audio signal and detections:
.. code:: python
import auditok
region = auditok.load("audio.wav") # returns an AudioRegion object
regions = region.split_and_plot(...) # or just region.splitp()
output figure:
.. image:: https://raw.githubusercontent.com/amsehili/auditok/master/doc/figures/example_1.png
Limitations
-----------
Currently, the core detection algorithm is based on the energy of audio signal.
While this is fast and works very well for audio streams with low background
noise (e.g., podcasts with few people talking, language lessons, audio recorded
in a rather quiet environment, etc.) the performance can drop as the level of
noise increases. Furthermore, the algorithm makes now distinction between speech
and other kinds of sounds, so you shouldn't use it for Voice Activity Detection
if your audio data also contain non-speech events.
License
-------
MIT.
نحوه نصب
نصب پکیج whl auditok-0.2.0:
pip install auditok-0.2.0.whl
نصب پکیج tar.gz auditok-0.2.0:
pip install auditok-0.2.0.tar.gz