Instantaneous voiced/non-voiced detection in speech signals based on variational mode decomposition

DOI10.1016/j.jfranklin.2015.04.001zbMath1395.94169OpenAlexW1972642748MaRDI QIDQ1660501

Ram Bilas Pachori, Abhay Upadhyay

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.04.001

Mathematics Subject Classification ID

Related Items (5)

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Uses Software

• WaveSurfer

Cites Work

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• Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool
• Multiplier methods: A survey
• Marginal energy density over the low frequency range as a feature for voiced/non-voiced detection in noisy speech signals
• Multiplier and gradient methods
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Numerical Optimization
• Variational Mode Decomposition
• A dual approach to solving nonlinear programming problems by unconstrained optimization

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