AI in Audio- A Practical Guide for Film, OTT & Music Creators

AI in Audio is a technically grounded, professional guide that examines how artificial intelligence is actually being used across modern audio workflows — clearly, critically, and without marketing narratives.

This book focuses on real-world application, practical limitations, and decision-making, covering AI across audio post-production, film and OTT workflows, dialogue editing and restoration, sound design, music for picture, mixing, and delivery standards.

Rather than positioning AI as a replacement for professionals, this book explains where AI helps, where it fails, and why human judgment remains essential to high-quality audio work.

Written in a calm, academic, and industry-focused tone, this book is intended for professionals and serious learners who want clarity instead of speculation.

What This Book Covers

• AI, machine learning, and neural networks in audio

• Dialogue editing and restoration using ML-based tools

• Production sound limitations and real-world failure cases

• ADR, voice matching, and performance authenticity

• Generative audio, Foley, and sound design systems

• Music integration in narrative and film workflows

• Mixing, loudness, and automated system constraints

• Copyright, ethics, consent, and ownership of the human voice

• Practical guidelines for responsible AI use

• Skills that remain fundamentally human in audio production

Who This Book Is For

• Film and OTT audio professionals

• Dialogue editors and sound designers

• Re-recording mixers

• Music producers working for picture

• Audio engineering students and educators

• Creators evaluating AI tools critically

What You Get

✔ Professionally formatted PDF ebook

✔ Immediate download after purchase

✔ Written as a long-term reference, not trend-based content

Important Notes

• This is a professional, technical guide, not a beginner tutorial

• No sponsored tools or software affiliations

• No hype, fear-mongering, or speculative claims

• Designed for clarity, accuracy, and responsible use