NDLI: Post-processing method for removing low-frequency bias in glottal inverse filtering

Content Provider	IET Digital Library
Author	Koc, Turgay
Abstract	Estimation of glottal flow waveform from speech requires recording of low-frequency sounds down to DC level. It causes a low-frequency noise or bias in the reconstructed glottal flow waveform. Removing this bias by linear highpass filtering (HPF) degrades the shape of glottal flow waveform. A nonlinear method based on empirical mode decomposition is proposed for removing the bias without using HPF while preserving the shape of the glottal flow waveform. The biased glottal flow waveform is decomposed into its intrinsic modes, then the low-frequency bias is estimated by using the higher modes. Glottal flow waveform is reconstructed by subtracting the bias in the time domain. The results show that the proposed method accurately estimates the bias and yields significantly better glottal flow waveforms than the conventional HPF method.
Starting Page	110
Ending Page	112
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 1, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3279
Journal	Electronics Letters
Publisher Date	2014-12-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Empirical Mode Decomposition Filtering Method in Signal Processing Glottal Flow Waveform Glottal Inverse Filtering High Pass Filter HPF Linear Highpass Filtering Low-frequency Bias Low-frequency Noise Mathematical Analysis Post-processing Method Speech And Audio Signal Processing Speech Processing Speech Processing Technique Time Domain Time Domain Analysis Waveform Analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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