Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Learning Microsoft Cognitive Services

You're reading from Learning Microsoft Cognitive Services Use Cognitive Services APIs to add AI capabilities to your applications

Product type Paperback

Published in Sep 2018

Publisher Packt

ISBN-13 9781789800616

Length 312 pages

Edition 3rd Edition

Languages

C#

Tools

Microsoft Cognitive Services

Concepts

Artificial Intelligence

Author (1):

Leif Larsen Henning Larsen

View More author details

Table of Contents (14) Chapters

Preface

1. Getting Started with Microsoft Cognitive Services

2. Analyzing Images to Recognize a Face FREE CHAPTER

3. Analyzing Videos

4. Letting Applications Understand Commands

5. Speaking with Your Application

6. Understanding Text

7. Building Recommendation Systems for Businesses

8. Querying Structured Data in a Natural Way

9. Adding Specialized Searches

10. Connecting the Pieces

A. LUIS Entities

LUIS prebuilt entities

B. License Information

Index

Chapter 5. Speaking with Your Application

In the previous chapter, we learned how to discover and understand the intent of a user, based on utterances. In this chapter, we will learn how to add audio capabilities to our applications, convert text to speech and speech to text, and learn how to identify the person speaking. Throughout this chapter, we will learn how you can utilize spoken audio to verify a person. Finally, we will briefly touch on how to customize speech recognition to make it unique for your application's usage.

By the end of this chapter, we will have covered the following topics:

Converting spoken audio to text and text to spoken audio
Recognizing intent from spoken audio by utilizing LUIS
Verifying that the speaker is who they claim to be
Identifying the speaker
Tailoring the Speaker Recognition API to recognize custom speaking styles and environments

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Leif Larsen Henning Larsen

Leif Larsen Henning Larsen

Leif Larsen is a software engineer based in Norway. After earning a degree in computer engineering, he went on to work with the design and configuration of industrial control systems, for the most part, in the oil and gas industry. Over the last few years, he has worked as a developer, developing and maintaining geographical information systems, working with .NET technology. Today, he is working with a start-up, developing a brand new SaaS product. In his spare time, he develops mobile apps and explores new technologies to keep up with the high-paced tech world. You can find out more about him by checking out his blog, "Leif Larsen", and following him on Twitter (@leif_larsen) and LinkedIn (lhlarsen).

See other products by Leif Larsen Henning Larsen

Other recommended products

Related to this chapter

Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.

Oct 2018 11h 20m

Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.

Oct 2018 11h 20m

Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.

Oct 2018 11h 20m

Building Bots with Microsoft Bot Framework

Building Bots with Microsoft Bot Framework

As we are now moving into fifth wave of Corporate IT Architecture from Web/Mobile/Cloud to Bots/IoT/AI, it has become important to design and develop the next generation applications on emerging technology platforms. With Bots, users can use the language as a UI and interact with the applications from any platform, and this book helps you achieve that. The goal of the book is to teach how to develop different real-world intelligent bots using Microsoft Bot Framework.

May 2017 14h 8m

Building Bots with Microsoft Bot Framework

Building Bots with Microsoft Bot Framework

As we are now moving into fifth wave of Corporate IT Architecture from Web/Mobile/Cloud to Bots/IoT/AI, it has become important to design and develop the next generation applications on emerging technology platforms. With Bots, users can use the language as a UI and interact with the applications from any platform, and this book helps you achieve that. The goal of the book is to teach how to develop different real-world intelligent bots using Microsoft Bot Framework.

May 2017 14h 8m

Building Bots with Microsoft Bot Framework

Building Bots with Microsoft Bot Framework

As we are now moving into fifth wave of Corporate IT Architecture from Web/Mobile/Cloud to Bots/IoT/AI, it has become important to design and develop the next generation applications on emerging technology platforms. With Bots, users can use the language as a UI and interact with the applications from any platform, and this book helps you achieve that. The goal of the book is to teach how to develop different real-world intelligent bots using Microsoft Bot Framework.

May 2017 14h 8m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m