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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Bibliographic Details
Main Author: Eyben, Florian (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Signal processing.
User interfaces (Computer systems).
Human-computer interaction.
Acoustical engineering.
Computational linguistics.
Signal, Speech and Image Processing.
User Interfaces and Human Computer Interaction.
Engineering Acoustics.
Computational Linguistics.
Online Access:Full-text access
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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.

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