Build AI Voice Assistants
Build Real-Time Voice Assistants with Speech and AIBy Vera Grimaldi
Length7h 54m
About this audiobook
Build AI Voice Assistants speech recognition natural language processing — Master the complete pipeline for creating speech-driven apps from scratch. This hands-on guide by Vera Grimaldi takes you from zero to pro, combining speech recognition, intent handling, and natural responses into one seamless workflow. You'll learn to build voice assistants that understand context, execute commands, and deliver human-like interactions. No prior AI experience needed; start with basic Python and progress to deploying production-ready systems.
Dive into practical projects: design wake-word detection, implement custom intents with machine learning, generate dynamic responses using text-to-speech, and optimize latency for real-time conversations. Renner demystifies complex topics like acoustic modeling, language models, and dialogue management, providing code examples and architecture patterns you can adapt immediately. Whether you're building a smart home controller, a customer service bot, or a personal productivity assistant, this book equips you with the tools to succeed.
Compare with competitors: [placeholder] and [placeholder] focus on theory, but Renner's pipeline-first approach ensures you code from day one. You'll integrate APIs from Google, Amazon, and Microsoft while also training custom models using open-source libraries. The book covers edge cases like handling accents, noisy environments, and multi-turn conversations—critical gaps in other resources.
By the end, you'll have built a fully functional voice assistant capable of controlling devices, fetching data, and even telling jokes. Renner includes chapters on testing, security, and scaling for thousands of users. Perfect for developers, data scientists, and hobbyists ready to turn speech into action. Start your voice AI journey today.
Audiobook details
GenreTechnology
Length7 hrs 54 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Introduction
12Chapter 10 — Memory That Remembers: Conversation History and Context
2Preface
13Chapter 11 — Seeing the World: Vision and Multimodal Input
3Chapter 1 — Your First Voice Assistant in 30 Minutes
14Chapter 12 — Smart Home Control with Function Calling
4Chapter 2 — The Voice Pipeline: How Sound Becomes Conversation
15Chapter 13 — Personality and Custom Instructions
5Chapter 3 — Audio Capture Mastery with PyAudio
16Chapter 14 — Resilience: Handling Errors, Noise, and Edge Cases
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6Chapter 4 — Real-Time Speech-to-Text with Google Cloud
17Chapter 15 — Testing and Debugging Voice Applications
7Chapter 5 — Going Offline: Whisper for Local STT
18Chapter 16 — Deployment: From Laptop to Production
8Chapter 6 — Text-to-Speech: From Cloud WaveNet to Local Piper
19Chapter 17 — Performance Optimization: Speed, Cost, and Accuracy
9Chapter 7 — The Brain: Integrating a Large Language Model
20Chapter 18 — From Project to Product: Next Steps and Community
10Chapter 8 — Full-Duplex Streaming: Real-Time Interaction
21About the Author
11Chapter 9 — Wake Word Detection: Your Assistant Listens for Its Name
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