Book Image

Artificial Intelligence for IoT Cookbook

By : Michael Roshak
Book Image

Artificial Intelligence for IoT Cookbook

By: Michael Roshak

Overview of this book

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Table of Contents (11 chapters)

Wake word detection

Wake word detection is used to make sure that your voice-activated system does not behave in unexpected ways. Achieving high accuracy rates for audio is challenging. Background noises interfere with the main vocal commands. One way to achieve higher accuracy is to use an array microphone. Array microphones are used for background noise canceling. In this recipe, we are using the ROOBO array microphone and the Microsoft Speech Devices SDK. The ROOBO array microphone is ideal for voice kiosks because its form factor allows it to be put flat on a kiosk face.

The ROOBO has an Android-based compute module attached to it. Android is a very common platform for kiosks because it is inexpensive and has a touch-first interface. For this recipe, we will be using the Android version of the Microsoft Speech Devices SDK. The Speech Devices SDK is different from the Speech SDK. The Speech Devices SDK will work with both array and circular microphones, while the Speech SDK...