Generative AI for Audio, my 3rd book after LangChain In Your Pocket, Model Context Protocol for Beginners
Just a few days back, I, alongside Nitya Pydipati, released my 3rd book in Generative AI space i.e.
“Audio AI for Beginners: Generative AI for Voice Recognition, TTS, Voice Cloning and more”
With God’s Grace and Your help, the book is now trending on Amazon as the best book for hottest release and also the best seller under the computer science and AI category.
Not just that, the early reviews of the book are great, and people are obviously liking the comic strip that we have used this time.
Why should you care about Audio AI right now?
AI isn’t just about text anymore. It talks, listens, sings, and can even clone voices. Audio AI is quietly becoming one of the biggest shifts in how we interact with tech, and most people have no clue how it really works. From AI music to voice assistants to deepfake voices, audio is where the next wave is happening. Knowing it now means you won’t be scrambling to catch up later.
What’s in this book, and why grab it?
Audio AI for Beginners is a hands-on, easy-to-follow guide to the world of AI-powered sound. No PhD, no coding wizardry needed. Curious about how Siri understands you, how AI writes music, or how deepfake voices are made? This book breaks it all down, step by step.
You’ll discover:
- How audio AI is different from text AI like ChatGPT
- How speech-to-text, text-to-speech, and voice-to-voice models work
- The ins and outs of voice cloning, why it’s cool and why it’s worrying
- What transformers, BERT, and GPT actually mean for sound
- How to try out TTS, voice cloning, and speech recognition yourself
- How AI music went from loops to full tracks
- What “audio foundational models” are and how researchers build them
- Fine-tuning audio LLMs with real code
- The ethics and risks: deepfakes, bias, emotional manipulation, and voice ownership
Each chapter comes with real examples, hands-on sections, and clear explanations that strip away the jargon but keep things technical enough to matter.
And here’s the kicker: I’m not new to this. I’ve already written three books, and two of them were bestsellers: Langchain In Your Pocket and Model Context Protocol for Beginners. So you’re learning from someone who knows how to make complex stuff stick.
Is this going to prep you for the future?
Absolutely. If text AI was wave one, audio AI is wave two. By the end, you’ll not just know what audio AI is, you’ll know why it’s happening now, how it works, and how to play with it yourself. It’s relevant for industries from healthcare and education to music and customer support.
And the price? Totally reasonable, considering you’ll be up to speed on the latest generative audio tech.
This book is for students, curious beginners, developers, or anyone who’s seen AI voice demos and thought: “That’s cool, but how does it actually work?”
Audio AI for Beginners, my new book is a Bestseller at Amazon was originally published in Data Science in Your Pocket on Medium, where people are continuing the conversation by highlighting and responding to this story.
