Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Audio signal processing library

Project Description

Copyright (c) 2013 Ronny Andersson

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Download-URL: https://pypi.python.org/pypi/zignal Description-Content-Type: UNKNOWN Description: # zignal

This is a python audio signal processing library.

## Example usage

>>> import zignal
>>>
>>> x = zignal.Sinetone(fs=44100, f0=997, duration=0.1, gaindb=-20)
>>> print(x)
=======================================
classname        : Sinetone
sample rate      : 44100.0 [Hz]
channels         : 1
duration         : 0.100 [s]
datatype         : float64
samples per ch   : 4410
data size        : 0.034 [Mb]
has comment      : no
peak             : [ 0.1]
RMS              : [ 0.0707]
crestfactor      : [ 1.4147]
-----------------:---------------------
frequency        : 997.0 [Hz]
phase            : 0.0 [deg]
-----------------:---------------------
>>> x.fade_out(millisec=10)
>>> x.convert_to_float(targetbits=32)
>>> x.write_wav_file("sinetone.wav")
>>> x.plot()
>>> x.plot_fft()
>>>
>>> f = zignal.filters.biquads.RBJ(filtertype="peak", gaindb=-6, f0=997, Q=0.707, fs=96000)
>>> print(f)
=======================================
classname        : RBJ
sample rate      : 96000.0 [Hz]
feedforward  (B) : [ 0.96949457 -1.87369167  0.90819329]
feedback     (A) : [ 1.         -1.87369167  0.87768787]
number of zeros  : 2
number of poles  : 2
minimum phase?   : Yes
-----------------:---------------------
stable?          : Yes
type             : peak
gain             : -6.00 [dB]
f0               : 997.0 [Hz]
Q                : 0.7070
>>> f.plot_mag_phase()
>>> f.plot_pole_zero()
>>>

See the examples folder for more examples.

## Requirements

This library relies on numpy, scipy, matplotlib and pyaudio. At the moment it is recommended to install these using the systems default package manager. On debian/ubuntu, do a

sudo apt-get install python-numpy python-scipy python-matplotlib python-pyaudio

to install the requirements. Once the basic requirements are installed, use pip to install zignal in for example a virtualenv. Create a virtualenv that can access the system site packages,

virtualenv –system-site-packages <name-of-virtualenv> . <name-of-virtualenv>/bin/activate pip install zignal

## Design goals

  1. Readability over efficiency. This is a python library for development and understanding of audio signal processing.
  2. The initial goal is to write the functionality in pure python, with the use of numpy, scipy and matplotlib. See rule 1. If efficiency becomes an issue a c/c++ library might be implemented but the pure python code must remain the default choice.
  3. Design for non real-time processing. Functionality to do real-time processing can be added if it does not break rule 1.
  4. Self documentation. The code should aim to be well documented, in the source code itself.

Keywords: audio,sound,card,soundcard,pyaudio,portaudio,playback,recording,digital,signal,processing,DSP,signalprocessing,fourier,FFT,filter,filtering,parametric,eq,equaliser,equalizer,biquad,cookbook,sine,generator,mls,mlssa,maximum,length,sequence,maximumlengthsequence,pseudo,random,pseudorandom,measure,measurement,impulse,response,impulseresponse,frequency,frequencyresponse,magnitude,magnituderesponse,piano,midi,tuning,scale,pitch,notation,equal,temperament,12TET,spn Platform: any Classifier: Development Status :: 3 - Alpha Classifier: Environment :: Console Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Education Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2.7 Classifier: Topic :: Education Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis Classifier: Topic :: Multimedia :: Sound/Audio :: Capture/Recording Classifier: Topic :: Multimedia :: Sound/Audio :: Editors Classifier: Topic :: Multimedia :: Sound/Audio :: MIDI Classifier: Topic :: Multimedia :: Sound/Audio :: Mixers Classifier: Topic :: Multimedia :: Sound/Audio :: Players Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis Classifier: Topic :: Scientific/Engineering :: Mathematics Classifier: Topic :: Software Development :: Quality Assurance Classifier: Topic :: Software Development :: Testing

Release History

Release History

This version
History Node

0.2.0

History Node

0.1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
zignal-0.2.0-py2-none-any.whl (43.1 kB) Copy SHA256 Checksum SHA256 py2 Wheel Dec 6, 2017
zignal-0.2.0.tar.gz (36.5 kB) Copy SHA256 Checksum SHA256 Source Dec 6, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting