Hey Cyba The Inner Workings of a Virtual Personal Assistant 1st Edition by Steve Young 1108982665 9781108982665

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Product details:

ISBN 10: 1108982665 

ISBN 13: 9781108982665

Author:  Steve Young 

Recent developments in artificial intelligence, especially neural network and deep learning technology, have led to rapidly improving performance in voice assistants such as Siri and Alexa. Over the next few years, capability will continue to improve and become increasingly personalised. Today’s voice assistants will evolve into virtual personal assistants firmly embedded within our everyday lives. Told through the view of a fictitious personal assistant called Cyba, this book provides an accessible but detailed overview of how a conversational voice assistant works, especially how it understands spoken language, manages conversations, answers questions and generates responses. Cyba explains through examples and diagrams the neural network technology underlying speech recognition and synthesis, natural language understanding, knowledge representation, conversation management, language translation and chatbot technology. Cyba also explores the implications of this rapidly evolving technology for security, privacy and bias, and gives a glimpse of future developments. Cyba’s website can be found at HeyCyba.com.

Hey Cyba The Inner Workings of a Virtual Personal Assistant 1st Table of contents:

1 May I Introduce Myself?
1.1 What Does a Virtual Personal Assistant Do?
1.2 Some Background History
1.3 My Place of Work
1.4 Privacy and Trust
1.5 My Goal in Life
1.6 How Smart Am I?
2 My Inner Workings
2.1 Anatomy of a Conversation
2.2 My Working Parts
3 How My Brain Works
3.1 Patterns
3.2 Artificial Neural Networks
3.3 Recognising Patterns
3.4 Training a Neural Network
3.5 From Static Patterns to Sequences
3.6 Convolutional Networks
3.7 Scaling-up
4 Knowing What I Know
4.1 My Knowledge Graph
4.2 Nodes and Links
4.3 Intent Graphs and Queries
4.4 Creating and Updating Entities
5 What Did You Say?
5.1 Human Speech Production
5.2 My Artificial Ears
5.3 Why Is Speech Recognition So Hard?
5.4 Capturing the Audio
5.5 From Sounds to Words
5.6 Pay Attention!
5.7 Adding a Language Model
5.8 A Postscript from the Bard . . .
6 What Does That Mean?
6.1 Intent Graph Generation and Ranking
6.2 Entity Linking
6.3 Multi-task Classification Using a Shared Encoder
6.4 Character-Based Word Embedding
6.5 Sentence Encoding and Recognition
6.6 Sentence/Intent Graph Matching
6.7 Candidate Ranking
7 What Should I Say Next?
7.1 My Conversation Manager
7.2 Learning a Good Dialogue Policy
7.3 Conversational Memory
7.4 Generating My Response
8 Listen to Me
8.1 From Text to Speech
8.2 Text Processing
8.3 Neural Speech Synthesis
8.4 Setting the Right Tone
8.5 Generating the Waveform
9 How Do You Say That In . . . ?
9.1 Transformer Networks
9.2 Using a Transformer Network for Language Translation
9.3 Characters or Words or . . .
9.4 Multi-lingual Translation
9.5 Beam Search
9.6 The Limits of Neural Machine Translation
10 Let’s Chat
10.1 My Chatty Responders
10.2 Hand-Crafted Response Generation
10.3 Retrieval-Based Response Generation
10.4 Web-Search Response Generation
10.5 Encoder–Decoder Response Generation
10.6 Selecting the Best Response
10.7 Social Chatbots
11 Can You Trust Me?
11.1 Security
11.2 Privacy
11.3 Bias
11.4 Transparency
11.5 Safety
11.6 Personality
11.7 The Bottom Line
12 When All Is Quiet
12.1 Knowledge Graph Maintenance
12.2 Federated Learning
12.3 Student–Teacher Model Reduction
12.4 End of the Tour
13 Future Upgrades and Beyond
13.1 Personalisation
13.2 Towards Self-Learning
13.3 The Neural–Symbolic Interface
13.4 Commonsense Reasoning and Inference
13.5 Planning
13.6 Super-intelligence?
13.7 Another Day

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Tags: Hey Cyba, Inner Workings, Virtual Personal Assistant, Steve Young