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

1. Auflage 2016
ISBN: 978-3-319-27298-6
Verlag: Springer International Publishing

Buch, Englisch, 298 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 6269 g

Reihe: Springer Theses

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.

Zielgruppe

Research

Autoren/Hrsg.

Eyben, Florian

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
• Mathematik | Informatik EDV | Informatik Informatik Tonsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik

Inhaltsverzeichnis

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.