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IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785888632
Length 548 pages
Edition 2nd Edition
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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 Jupyter and IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Jupyter Notebook 4. Profiling and Optimization 5. High-Performance Computing 6. Data 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 http://www.ffmpeg.org.

How to do it

  1. Let's import the packages:

    >>> from io import BytesIO
        import tempfile
        import requests
        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 that loads an MP3 sound and returns a NumPy array with the raw sound data:

    >>> def speak(data):
            # We convert the mp3 bytes to wav.
            audio = pydub.AudioSegment.from_mp3(BytesIO(data))
            with tempfile.TemporaryFile...
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