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)
24
Other Books You May Enjoy
25
Index

Synthesizing tones to generate music

The previous section described how to generate a simple monotone, but it's not very meaningful. It was just a single frequency through the signal. Let's use that principle to synthesize music by stitching different tones together. We will be using standard tones such as A, C, G, and F to generate music. In order to see the frequency mapping for these standard tones, check out this link: http://www.phy.mtu.edu/~suits/notefreqs.html.

Let's use this information to generate a musical signal.

Create a new Python file and import the following packages:

import json
import numpy as np
import matplotlib.pyplot as plt
from scipy.io.wavfile import write

Define a function to generate a tone based on the input parameters:

# Synthesize the tone based on the input parameters
def tone_synthesizer(freq, duration, amplitude=1.0, sampling_freq=44100):
    # Construct the time axis
    time_axis = np.linspace(0, duration...