Real-time Speech and Music Classification by Large Audio Feature Space Extraction

by Florian Eyben

Overview

This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions.

Product Details

ISBN-13:	9783319801117
Publisher:	Springer International Publishing
Publication date:	04/03/2018
Series:	Springer Theses
Edition description:	Softcover reprint of the original 1st ed. 2016
Pages:	298
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Abstract.- Introduction.- Acoustic Features and Modelling.- Standard Baseline Feature Sets.- Real-time Incremental Processing.- Real-life Robustness.- Evaluation.- Discussion and Outlook.- Appendix.- Mel-frequency Filterbank Parameters.