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

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 c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Eyben, Florian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.