NDLI: Enhanced Speech Based Jointly Statistical Probability Distribution Function for Voice Activity Detection

Content Provider	IET Digital Library
Author	Li, Jie You, Datao
Abstract	Most of Voice activity detection (VAD) methods are based on statistical model. In these methods, the noise signal is always assumed to satisfy and characterized by Gaussian distribution, while the assumption of noise does not always hold in practice and which causes that these kinds of method fail to distinguish speech from noise at low Signal-noise-ratio (SNR) level in non-stationary noise condition. For going further to improve the robustness of VAD, a enhanced speech based method is proposed. In the proposed method, the Laplacian distribution is used to model the remained noise since we find that the remained noise in enhanced speech satisfy Laplacian distribution; in addition, Gaussian mixture model is used to characterize the Discrete Fourier transform (DFT) coefficients of reconstructed speech in enhanced speech. Experimental results show that the proposed method performs better than the baseline method, especially in low SNR and non-stationary noise conditions.
Starting Page	325
Ending Page	330
Page Count	6
ISSN	10224653
Volume Number	26
e-ISSN	20755597
Issue Number	Issue 2, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/26/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2017.01.001
Journal	Chinese Journal of Electronics
Publisher Date	2017-03-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	DFT Discrete Fourier Transform Gaussian Distribution Gaussian Mixture Model Integral Transforms Laplacian Distribution Low Signal-noise-ratio Mixture Model Speech And Audio Signal Processing Speech Enhancement Speech Processing Technique Statistical Model Statistical Probability Distribution Function Statistics VAD Voice Activity Detection Method
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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