Low-Distortion MMSE Speech Enhancement Estimator Based on Laplacian Prior
The most well-known conventional speech enhancement algorithms introduce unwanted artifact noise and speech distortion to the enhanced signal. Reducing the effects of such issues require more robust linear and non-linear estimators. This paper proposes new optimum linear and non-linear Laplacian dis...
Main Authors: | Basheera M. Mahmmod, Abd Rahman Ramli, Sadiq H. Abdulhussian, Syed Abdul Rahman Al-Haddad, Wissam A. Jassim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7914629/ |
Similar Items
-
Low-distortion MMSE speech enhancement estimator based on laplacian prior
by: Mahmmod, Basheera M., et al.
Published: (2017) -
Dual Stages of Speech Enhancement Algorithm Based on Super Gaussian Speech Models
by: Humam Awad Hussein, et al.
Published: (2023-09-01) -
Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging
by: Qiquan Zhang, et al.
Published: (2019-01-01) -
Speech Enhancement with Natural Sounding Residual Noise Based on Connected Time-Frequency Speech Presence Regions
by: Sørensen Karsten Vandborg, et al.
Published: (2005-01-01) -
AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES
by: M. Taha, et al.
Published: (2020-03-01)