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Python: Real World Machine Learning
book

Python: Real World Machine Learning

by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
November 2016
Beginner to intermediate
941 pages
21h 55m
English
Packt Publishing
Content preview from Python: Real World Machine Learning

Generating audio signals with custom parameters

We can use NumPy to generate audio signals. As we discussed earlier, audio signals are complex mixtures of sinusoids. So, we will keep this in mind when we generate our own audio signal.

How to do it…

  1. Create a new Python file, and import the following packages:
    import numpy as np
    import matplotlib.pyplot as plt
    from scipy.io.wavfile import write
  2. We need to define the output file where the generated audio will be stored:
    # File where the output will be saved
    output_file = 'output_generated.wav'
  3. Let's specify the audio generation parameters. We want to generate a three-second long signal with a sampling frequency of 44100 and a tonal frequency of 587 Hz. The values on the time axis will go from -2*pi to ...
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Publisher Resources

ISBN: 9781787123212Supplemental ContentPurchase Link