NDLI: Unsupervised noise removal technique based on constrained NMF

Content Provider	IET Digital Library
Author	Vaghmare, Anil Kumar Rao, Chevula Venkata Rama
Abstract	This paper presents a novel approach to mitigate background interference noise in a noisy audio environment based on unsupervised speech enhancement without the prior knowledge of speech as well as noise signal. In this scheme, a noisy speech signal is represented by a non-negative matrix factorisation (NMF) with sparseness constraints. Using NMF with constraints, noise density spectrum is estimated to design the spectral subtraction method. In the earlier method of NMF, correlation between the noise and the audio signals was not considered. The proposed method explores the correlation between the noise and speech signals. A sparse constraint NMF-based spectral subtraction method is designed to eliminate the noise. The performance is evaluated by considering various noise environments in terms of quality and intelligibility measures. Simulation results highlight the improvement in the enhanced speech with the suggested approach.
Starting Page	788
Ending Page	795
Page Count	8
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 7, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0414
Journal	IET Signal Processing
Publisher Date	2017-04-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Background Interference Noise Mitigation Constrained NMF Correlation Method Intelligibility Measures Interference Suppression Matrix Decomposition Noise Density Spectrum Noise-speech Signal Correlation Noisy Audio Environment Noisy Speech Signal Representation Nonnegative Matrix Factorisation Quality Measures Signal Denoising Sparse Constraint NMF-based Spectral Subtraction Method Spectral Analysis Speech And Audio Signal Processing Speech Enhancement Speech Intelligibility Speech Processing Technique Unsupervised Noise Removal Technique Unsupervised Speech Enhancement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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