Overview

Audio AI in Action demystifies the technology powering modern sound intelligence and shows practitioners - engineers, musicians, product managers, and curious professionals - how to apply it responsibly. From music generation and foundation models to real-world deployments in healthcare, customer service, and immersive entertainment, this book blends technical depth with practical workflows and case studies. You'll learn how tokenization and neural codecs make long-form audio generation tractable, how to fine-tune models for domain accuracy, and how to design for fairness, provenance, and safety. Packed with hands-on guidance, the book explains transfer learning, parameter-efficient adapters, and step-by-step pipelines for adapting audio foundations to specific tasks. Chapters on ethics and governance clarify deepfake risk, rights and licensing questions, and mitigation patterns that organizations can adopt today. The final sections look forward - affective computing, on-device inference, multimodal assistants, and long-term research directions - so readers can anticipate both opportunity and responsibility. Whether you're building production systems, crafting AI-driven music, or guiding policy, this book provides the concepts, practical recipes, and design principles needed to move from prototypes to trusted products. Learn how audio becomes a first-class modality in modern AI - powerful, practical, and governed.

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