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An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.
Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants.
Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology; problems in extracting meaning from utterances in order to execute a request; language and speech generation; the dialog manager module; and interactions with social assistants and robots. Finally, he considers the next big challenge in the development of virtual assistants: building in more intelligence--enabling them to do more than communicate in natural language and endowing them with the capacity to know us better, predict our needs more accurately, and perform complex tasks with ease.
List of contents
Series Foreword
Preface
1 What Is a Virtual Assistant?
2 AI and Machine Learning
3 Speech Recognition
4 Natural Language Understanding
5 Natural Language and Speech Generation
6 The Dialog Manager
7 Interacting with an Assistant
8 Conclusions
Acknowledgments
Glossary
Notes
Further Reading
Index
About the author
Roberto Pieraccini, an expert in spoken human–machine–interaction, is Director of Engineering at Google. He is the author of
The Voice in the Machine: Building Computers That Understand Speech.
Summary
An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.
Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants.
Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology; problems in extracting meaning from utterances in order to execute a request; language and speech generation; the dialog manager module; and interactions with social assistants and robots. Finally, he considers the next big challenge in the development of virtual assistants: building in more intelligence--enabling them to do more than communicate in natural language and endowing them with the capacity to know us better, predict our needs more accurately, and perform complex tasks with ease.
Additional text
"AI Assistants is a good, quick read for those who are trying to gain a baseline understanding of virtual assistants. It covers the underpinnings of the technology in a smooth manner and is worth a glance."
–FORBES
Report
"AI Assistants is a good, quick read for those who are trying to gain a baseline understanding of virtual assistants. It covers the underpinnings of the technology in a smooth manner and is worth a glance."
FORBES
