NDLI: Discrete cosine transform-derived spectrum-based speech enhancement algorithm using temporal-domain multiband filtering

Content Provider	IET Digital Library
Author	Jeeva, Muthu Philominal Actlin Nagarajan, Thangavelu Vijayalakshmi, Parthasarathy
Abstract	Conventional multiband speech enhancement involves splitting the spectrum into various frequency bins and performing speech enhancement in each band independently. However, owing to the pole-interaction problem in the spectral domain, estimation of clean speech from the formants, suppressed by the influence of the formants in the neighbouring bands, may result in poor quality. To reduce the influence of stronger formants over the neighbouring bands, in the current work, clean speech is estimated by filtering unprocessed speech in the temporal domain into various equivalent rectangular bandwidth based subbands followed by discrete cosine transform (DCT) based spectral speech enhancement in each band using spectral subtraction/minimum mean square error (MMSE). To further enhance speech, a spectral subtraction-based approach that incorporates band-specific weighting factor obtained using respective band signal-to-noise ratio (SNR), and an MMSE estimator that calculates apriori speech presence/absence probability based on local and global apriori SNR rather than a fixed/equiprobable value are proposed. The performance of the algorithms is evaluated using perceptual evaluation of speech quality and composite speech quality measure. It is observed that DCT-derived spectrum based temporal-domain multiband speech enhancement algorithm outperforms the existing techniques for car, babble, train, white, and factory noise in the 0–10 dB SNR levels.
Starting Page	965
Ending Page	980
Page Count	16
ISSN	17519675
Volume Number	10
e-ISSN	17519683
Issue Number	Issue 8, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/10/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0125
Journal	IET Signal Processing
Publisher Date	2016-06-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apriori Speech Presence Probability Band-specific Weighting Factor Composite Speech Quality Measure DCT Discrete Cosine Transform Equivalent Rectangular Bandwidth Based SubBand Filtering Method in Signal Processing Filtering Theory Global Apriori Signal-to-noise Ratio Integral Transforms in Numerical Analysis Interpolation And Function Approximation Least Mean Squares Method Local Apriori SNR Minimum Mean Square Error MMSE Estimator Noise Component Removal Numerical Analysis Pole-interaction Problem Probability Spectral Analysis Spectral Subtraction-based Approach Spectrum-based Speech Enhancement Algorithm Speech Absence Probability Speech And Audio Signal Processing Speech Enhancement Speech Processing Technique Statistics Temporal-domain Multiband Filtering
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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