Book Image

Artificial Intelligence with Python Cookbook

By : Ben Auffarth
Book Image

Artificial Intelligence with Python Cookbook

By: Ben Auffarth

Overview of this book

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.
Table of Contents (13 chapters)

Synthesizing speech from text

A text-to-speech program, easily intelligible by humans, can allow people with visual or reading impairments to listen to written words on a home computer, or can allow you to enjoy a book while driving a car. In this recipe, we'll work through loading a text-to-speech model, and having it read a text to us. In the How it works... section, we'll go through the model implementation and the model architecture.

Getting ready

For this recipe, please make sure you have a GPU available. On Google Colab, make sure you activate a GPU runtime. We'll also need the wget library, which we can install from the notebook as follows:

!pip install wget

We also need to clone the pytorch-dc-tts repository from GitHub and install its requirements. Please run this from the notebook (or run it from the terminal without the leading exclamation marks):

from os.path import exists

if not exists('pytorch-dc-tts'):
!git clone --quiet