Low-Distortion MMSE Speech Enhancement Estimator Based on Laplacian Prior
(43)
(40)
Publication Date
Mon Jan 09 2023
Journal Name
2023 15th International Conference On Developments In Esystems Engineering (dese)
(4)
(2)
Publication Date
Mon Mar 01 2021
Journal Name
Iop Conference Series: Materials Science And Engineering
Speech Enhancement Algorithm Based on a Hybrid Estimator
Abstract<p>Speech is the essential way to interact between humans or between human and machine. However, it is always contaminated with different types of environment noise. Therefore, speech enhancement algorithms (SEA) have appeared as a significant approach in speech processing filed to suppress background noise and return back the original speech signal. In this paper, a new efficient two-stage SEA with low distortion is proposed based on minimum mean square error sense. The estimation of clean signal is performed by taking the advantages of Laplacian speech and noise modeling based on orthogonal transform (Discrete Krawtchouk-Tchebichef transform) coefficients distribution. The Discrete Kra</p>
... Show More
(12)
Publication Date
Sun Mar 01 2026
Journal Name
Journal Of Engineering
A Dual-Stage Perceptual-Harmonic Hybrid Estimator for Speech Enhancement
DMH
Intelligibility
PKLT
PKDMH
Quality metrics
Speech enhancement
This paper proposes a hybrid speech enhancement estimator that integrates the Perceptually-motivated Karhunen–Loève Transform (PKLT) with the Dual-Masking Harmonic-based (DMH) algorithm in a unified framework termed PKDMH. The main novelty lies in combining perceptual subspace projection with harmonic-residual suppression, enabling the system to jointly remove noise while preserving speech-relevant spectral cues. PKLT first performs perceptual subspace projection and suppresses inaudible components, after which DMH eliminates remaining broadband and harmonic residuals. The proposed PKDMH system was evaluated using the TIMIT dataset contaminated with five noise types: White, Pink, F16, Airport, and Car noise—across five SNR leve
... Show More
Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Engineering
Dual Stages of Speech Enhancement Algorithm Based on Super Gaussian Speech Models
Speech Enhancement Algorithms (SEA)
Gaussian speech model
Laplacian speech model
Discrete Tchebichef Transform (DTT)
Discrete Tchebichef-Krawtchouk Transform (DTKT)
Various speech enhancement Algorithms (SEA) have been developed in the last few decades. Each algorithm has its advantages and disadvantages because the speech signal is affected by environmental situations. Distortion of speech results in the loss of important features that make this signal challenging to understand. SEA aims to improve the intelligibility and quality of speech that different types of noise have degraded. In most applications, quality improvement is highly desirable as it can reduce listener fatigue, especially when the listener is exposed to high noise levels for extended periods (e.g., manufacturing). SEA reduces or suppresses the background noise to some degree, sometimes called noise suppression alg
... Show More
(8)
(6)
Publication Date
Tue Jan 01 2019
Journal Name
Ieee Access
(46)
(44)
Publication Date
Mon Jan 09 2023
Journal Name
2023 15th International Conference On Developments In Esystems Engineering (dese)
(17)
(9)
Publication Date
Sun Dec 30 2012
Journal Name
Journal Of Kufa For Mathematics And Computer
Publication Date
Sat Oct 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
Bayesian Estimator for the Scale Parameter of the Normal Distribution Under Different Prior Distributions
خصائص التوزيع الطبيعي
طريقة الإمكان الأعظم
طريقة العزوم
طريقة بيز
التوزيع الأولي SRIG
التوزيع الأولي non-informative
التوزيع الأولي لعائلة الدالة المرافقة الطبيعية
متوسط مربع الأخطاء (MSE)
متوسط الخطأ النسبي المطلق (MAPE).
The properties of the normal distribution
Maximum likelihood method
Moment estimation method
Bayes method
the SRIG prior distribution
the non-informative prior distribution
the natural conjugate family of priors
Mean Square Error (MSE)
Mean Absolute Percentage Error (MAPE).
In this study, we used Bayesian method to estimate scale parameter for the normal distribution. By considering three different prior distributions such as the square root inverted gamma (SRIG) distribution and the non-informative prior distribution and the natural conjugate family of priors. The Bayesian estimation based on squared error loss function, and compared it with the classical estimation methods to estimate the scale parameter for the normal distribution, such as the maximum likelihood estimation and th
... Show More
Publication Date
Tue Jul 01 2025
Journal Name
Ain Shams Engineering Journal
(23)
(23)
Publication Date
Tue Jul 01 2025
Journal Name
Ain Shams Engineering Journal
(23)
(23)