Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
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Generating audio signals

Now that we know how audio signals work, let's see how we can generate one such signal. We can use the NumPy package to generate various audio signals. Since audio signals are mixtures of sinusoids, we can use this to generate an audio signal with some predefined parameters.

Create a new Python file and import the following packages:

import numpy as np
import matplotlib.pyplot as plt
from import write

Define the output audio file's name:

# Output file where the audio will be saved
output_file = 'generated_audio.wav'

Specify the audio parameters, such as duration, sampling frequency, tone frequency, minimum value, and maximum value:

# Specify audio parameters
duration = 4  # in seconds
sampling_freq = 44100  # in Hz
tone_freq = 784
min_val = -4 * np.pi
max_val = 4 * np.pi

Generate the audio signal using the defined parameters:

# Generate the audio signal
t = np.linspace...