Information Science Reference - Machine Audition Book

Machine Audition: Principles, Algorithms and Systems provides a comprehensive look into the automatic analysis and understanding of sound by machines. As interest grows across signal processing, machine learning, and artificial intelligence, research often remains fragmented across different disciplines. This Premier Reference Source addresses that gap by connecting various fields of study. This book serves as a bridge between research communities such as auditory modeling, pattern recognition, perception and cognition, and psychology. By bringing these diverse areas together, it helps reduce overlapping research activities and provides a unified perspective on machine audition. Whether you are working in signal processing or AI, this text offers the foundational principles and systems needed to understand how machines interpret auditory data.