Question 1

What is an AI voiceover glossary?

Accepted Answer

An AI voiceover glossary is a collection of key terms and definitions used in artificial intelligence–based voice generation. It helps creators, engineers, and producers understand how technologies like text-to-speech (TTS), neural synthesis, and voice cloning work together.

Question 2

What does neural TTS mean?

Accepted Answer

Neural TTS stands for neural text-to-speech, a technology that uses deep learning models to produce natural, human-like voices. It improves pronunciation, tone, and emotional expression compared to older, rule-based TTS systems.

Question 3

What is the difference between voice cloning and voice synthesis?

Accepted Answer

Voice cloning replicates a specific person’s voice using small samples, while voice synthesis creates entirely new voices that never existed before. Cloning focuses on imitation, while synthesis focuses on generation.

Question 4

Why should creators learn AI voiceover terminology?

Accepted Answer

Knowing AI voiceover terms makes it easier to communicate with sound designers, developers, and AI tools. Understanding the difference between pitch correction, SSML, or LUFS helps creators control the sound quality and emotional tone of their projects.

Question 5

Where can I learn more about AI-generated voices?

Accepted Answer

You can find detailed guides, tutorials, and tools on Pixflow’s AI Voiceover page. It covers everything from emotional voice control and multilingual synthesis to ethical concerns like deepfake audio. Bookmark it as your central hub for exploring the future of AI voice creation.

AI voiceover terms explained

Glossary of AI Voiceover Terms