Springer Real-time Speech and Music Classification Book

Explore advanced methods in automated audio analysis with this Springer thesis. This book details significant advancements in the classification of speech and music signals, providing a deep look into large audio feature space extraction. It is an essential resource for researchers and professionals interested in the technical implementation of acoustic parameter sets. Readers will learn about the development and evaluation of the openSMILE framework, a novel and open-source audio analysis tool used by experts worldwide. The text provides extensive descriptions of key methods designed to handle the classification of signals in real-life conditions. Whether you are studying digital signal processing or automated audio recognition, this book offers a comprehensive look at the frameworks and parameter sets that drive modern audio technology.