Voice and AI
How modern AI listens, learns, and speaks back — in your voice.
Voice and AI is a plain-English deep dive into the technology that powers today's voice cloning and neural text-to-speech systems. Starting from how a microphone captures sound, the book walks through spectrograms, vocoders, transformer-based speech models, and the ethics of synthetic voices. It's the same playbook we used to build Clone Voice Translator — written so you can read it on a flight and walk off understanding the field.
From waveform to voice clone
Sampling · Spectrograms · Embeddings · Vocoders · Diffusion · TTS
What's inside Voice and AI
The chapters move from the physics of sound to production AI systems. Each one is short enough to read in a sitting and ends with a checklist of what you should now understand.
Sound as data
Pressure waves, sampling rates, and why 16 kHz audio is enough for almost everything voice AI does.
Spectrograms & features
How models turn raw audio into mel-spectrograms — the picture-of-sound that neural networks actually look at.
Speaker embeddings
The "fingerprint" vectors that let an AI capture you from just a few seconds of audio.
Text-to-speech architectures
Tacotron, FastSpeech, VITS, and today's diffusion- and transformer-based TTS models — what each gets right and wrong.
Vocoders & voice cloning
How HiFi-GAN and neural vocoders rebuild audio from spectrograms, and how zero-shot cloning actually works.
Ethics, consent & deepfakes
Watermarking, identity verification, and the rules a responsible voice-AI product has to live by.
Articles & deep dives
Chapter companions, behind-the-scenes engineering notes, and answers to the questions readers send us most often. New posts every few weeks.
New articles are on the way. In the meantime, grab the book — every chapter goes deeper than a single blog post can.