Approximate Entropy and Empirical Mode Decomposition for Improved Speaker Recognition

DOI10.1142/S2424922X20500114OpenAlexW3108326396MaRDI QIDQ5066685

David M. Jenkins, John F. Doherty, Donald L. Hall, Richard A. Metzger

Publication date: 29 March 2022

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x20500114

zbMATH Keywords

speech processingempirical mode decompositionspeaker identificationapproximate entropy

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• ALIZE

Cites Work

• Approximate entropy as a measure of system complexity.
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Empirical Mode Decomposition and its Extensions Applied to EEG Analysis: A Review

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