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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783284818
Length 512 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
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Toc

Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Notebook 4. Profiling and Optimization 5. High-performance Computing 6. Advanced Visualization 7. Statistical Data Analysis 8. Machine Learning 9. Numerical Optimization 10. Signal Processing 11. Image and Audio Processing 12. Deterministic Dynamical Systems 13. Stochastic Dynamical Systems 14. Graphs, Geometry, and Geographic Information Systems 15. Symbolic and Numerical Mathematics Index

Applying digital filters to speech sounds


In this recipe, we will show how to play sounds in the notebook. We will also illustrate the effect of simple digital filters on speech sounds.

Getting ready

You need the pydub package. You can install it with pip install pydub or download it from https://github.com/jiaaro/pydub/.

This package requires the open source multimedia library FFmpeg for the decompression of MP3 files, available at www.ffmpeg.org.

The code given here works with Python 3. You will find the Python 2 version in the book's GitHub repository.

How to do it…

  1. Let's import the packages:

    In [1]: import urllib
            from io import BytesIO
            import numpy as np
            import scipy.signal as sg
            import pydub
            import matplotlib.pyplot as plt
            from IPython.display import Audio, display
            %matplotlib inline
  2. We create a Python function to generate a sound from an English sentence. This function uses Google's Text-To-Speech (TTS) API. We retrieve the sound in the...

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