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Scikits Audiolab - Python Audio Effects GUI
https://sites.google.com/site/ldpyproject/scikits-audiolab
Scikits Audiolab Contents 1 Importing the Scikits Audiolab module 2 Reading an audio file into a Numpy array 3 Writing an audio file 4 Playing audio 5 Determining available file formats and...
scikits.audiolab - PyPI
https://pypi.org/project/scikits.audiolab/
Audiolab is a python package for audio file IO using numpy arrays. It supports many different audio formats, including wav, aiff, au, flac, ogg, htk. It also supports output to audio device (Mac OS X and Linux only). For simplicity, a matlab-like API is provided for simple import/export; a more complete API is also available.
Overview — audiolab v0.11.0.dev documentation
http://cournape.github.io/audiolab/overview.html
import numpy as np from scikits.audiolab import Sndfile f = Sndfile ('test.wav', 'r') # Sndfile instances can be queried for the audio file meta-data fs = f. samplerate nc = f. channels enc = f. encoding # Reading is straightfoward data = f. read_frames (1000) # This reads the next 1000 frames, e.g. from 1000 to 2000, but as single precision ...
pip - How does one install scikits.audiolab 0.11.0 on ...
https://stackoverflow.com/questions/47779548/how-does-one-install-scikits-audiolab-0-11-0-on-windows
I have installed this into my conda virtual environment so that the file path looks like this: (wavenet) C:\Windows>pip install scikits.audiolab==0.11.0 Collecting scikits.audiolab==0.11.0 Using cached scikits.audiolab-0.11.0.tar.gz Complete output from command python setup.py egg_info: SndfileInfo: libraries sndfile not found in C:\Users ...
scikits.audiolab 0.11.0 on PyPI - Libraries.io
https://libraries.io/pypi/scikits.audiolab
pip install scikits.audiolab==0.11.0 SourceRank 10. Dependencies 0 Dependent packages 1 Dependent repositories 48 Total releases 6 Latest release Jul 23, 2010 First release Nov 25, 2008 Stars 115 Forks 33 Watchers 9 Contributors 3 Repository size 1.44 MB Documentation. Audiolab is a python package for audio file IO using numpy arrays. ...
scikit-learn Tutorials — scikit-learn 1.0.2 documentation
https://scikit-learn.org/stable/tutorial/index.html
A tutorial on statistical-learning for scientific data processing. Statistical learning: the setting and the estimator object in scikit-learn. Supervised learning: predicting an output variable from high-dimensional observations. Model selection: choosing estimators and their parameters. Unsupervised learning: seeking representations of the data.
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