scholarly journals A NEW SPEECH ENHANCEMENT TECHNIQUE USING PERCEPTUAL CONSTRAINED SPECTRAL WEIGHTING FACTORS

2012 ◽  
pp. 212-217
Author(s):  
T. Muni Kumar ◽  
M.B.Rama Murthy ◽  
Ch.V.Rama Rao ◽  
K.Srinivasa Rao
Keyword(s):  
Speech Enhancement ◽  
Weighting Factor ◽  
Wiener Filtering ◽  
Noise Masking ◽  
Enhancement Technique ◽  
Enhancement Method ◽  
Simulation Results ◽  
Spectral Weighting ◽  
Better Than

This paper deals with musical noise result from perceptual speech enhancement type algorithms and especially wiener filtering. Although perceptual speech enhancement methods perform better than the non perceptual methods, most of them still return annoying residual musical noise. This is due to the fact that if only noise above the noise masking threshold is filtered then noise below the noise masking threshold can become audible if its maskers are filtered. It can affect the performance of perceptual speech enhancement method that process audible noise only. In order to overcome this drawback here proposed a new speech enhancement technique. It aims to improve the quality of the enhanced speech signal provided by perceptual wiener filtering by controlling the latter via a second filter regarded as a psychoacoustically motivated weighting factor. The simulation results shows that the performance is improved compared to other perceptual speech enhancement methods

Efficient Channel Utilization and Prioritization Scheme for Emergency Calls in Cellular Network

2014 ◽  
Vol 3 (3) ◽  
pp. 56-69
Author(s):  
K. N. Rama Mohan Babu ◽  
K.N. Balasubramanya Murthy ◽  
G.V. Pavithra ◽  
K.R Mamatha
Keyword(s):  
Cellular Networks ◽  
Cellular Network ◽  
Channel Utilization ◽  
Scheduling Scheme ◽  
Emergency Calls ◽  
Probabilistic Scheduling ◽  
Simulation Results ◽  
Prioritization Scheme ◽  
Better Than

Handling of emergency calls in wireless cellular networks is one of the major issues. The main objective here is to improve quality of service by efficient channel utilization. In this paper, a new scheme called probabilistic emergency prioritization scheme (PEPS) is proposed which provides highest priority for emergency calls. The proposed method minimizes the dropping or blocking of emergency calls even if the number of emergency calls are more than 25% of the calls. Monte Carlo simulation results show that the proposed scheme works better than the existing adaptive probabilistic scheduling scheme (APS).

Image Enhancement Method for Steel Surface Defects Based on DT-CWT

2013 ◽  
Vol 380-384 ◽  
pp. 3686-3689
Author(s):  
Zhi Xin Chen ◽  
Ping Wang ◽  
Shi Kun Xie
Keyword(s):  
Surface Defects ◽  
Signal To Noise Ratio ◽  
Wavelet Denoising ◽  
Complex Wavelet Transform ◽  
Enhancement Method ◽  
Shift Invariance ◽  
Gaussian Probability Distribution ◽  
Simulation Results ◽  
Non Gaussian ◽  
Better Than

A method based on Dual-Tree Complex Wavelet Transform (DT-CWT) was proposed for enhancing the images. By taking into account the non-Gaussian probability distribution and the statistical dependencies among wavelet coefficients of some signals, and by taking advantage of near shift-invariance of DT-CWT, it can obtain higher signal-to-noise ratio (SNR) than common wavelet denoising methods. The simulation results show that the proposed method is better than the traditional methods. It has a good enhancement performance which can improve the details of the image automatically.

A Novel Differentiate Weight Algorithm on Heterogeneous Network Selection

2013 ◽  
Vol 709 ◽  
pp. 593-598
Author(s):  
Wei Zhang ◽  
Xin Rong Wu ◽  
Wei Han ◽  
Ting Liu ◽  
Shun Jiang
Keyword(s):  
Heterogeneous Network ◽  
Network Selection ◽  
Average Weight ◽  
Qos Guarantee ◽  
Network Meeting ◽  
Target Network ◽  
Order Preference ◽  
Simulation Results ◽  
Better Than

How to select a target network meeting the needs of Quality of Service (QoS) guarantee in heterogeneous network environment has become a research hotspot. In this paper, a novel differentiate weight algorithm on heterogeneous network selection is proposed. As regard of the different needs of QoS for each class of traffic in heterogeneous network, the QoS parameter weight for each class of traffic is calculated by G1 method, and then the target network is selected by technique for order preference by similarity to ideal solution (TOPSIS). At last, simulation results show that the algorithm proposed in this paper is better than average weight algorithm on selecting target network reasonably and balancing network loads.

scholarly journals A single channel speech enhancement technique exploiting human auditory masking properties

2010 ◽  
Vol 8 ◽  
pp. 95-99
Author(s):  
F. X. Nsabimana ◽  
V. Subbaraman ◽  
U. Zölzer
Keyword(s):  
Speech Enhancement ◽  
Single Channel ◽  
Noise Power ◽  
Auditory Masking ◽  
Enhancement Technique ◽  
Time Frequency ◽  
Residual Noise ◽  
Dependent Parameter ◽  
A New Technique ◽  
Spectral Weighting

Abstract. To enhance extreme corrupted speech signals, an Improved Psychoacoustically Motivated Spectral Weighting Rule (IPMSWR) is proposed, that controls the predefined residual noise level by a time-frequency dependent parameter. Unlike conventional Psychoacoustically Motivated Spectral Weighting Rules (PMSWR), the level of the residual noise is here varied throughout the enhanced speech based on the discrimination between the regions with speech presence and speech absence by means of segmental SNR within critical bands. Controlling in such a way the level of the residual noise in the noise only region avoids the unpleasant residual noise perceived at very low SNRs. To derive the gain coefficients, the computation of the masking curve and the estimation of the corrupting noise power are required. Since the clean speech is generally not available for a single channel speech enhancement technique, the rough clean speech components needed to compute the masking curve are here obtained using advanced spectral subtraction techniques. To estimate the corrupting noise, a new technique is employed, that relies on the noise power estimation using rapid adaptation and recursive smoothing principles. The performances of the proposed approach are objectively and subjectively compared to the conventional approaches to highlight the aforementioned improvement.

Perbandingan Performa Histogram Equalization untuk Peningkatan Kualitas Gambar Minim Cahaya pada Android

2020 ◽  
Vol 12 (2) ◽  
pp. 80-88
Author(s):  
Claudia Kenyta ◽  
Daniel Martomanggolo Wonohadidjojo
Keyword(s):  
Image Enhancement ◽  
Light Condition ◽  
Histogram Equalization ◽  
Low Light ◽  
Adaptive Histogram Equalization ◽  
Enhancement Method ◽  
Better Than

When the photos are taken in low light condition, the quality of the results will not meet their expectation. Image Enhancement method can be used to enhance the quality of the photos taken in low light condition. One of the algorithms used is called Histogram Equalization (HE), that works using Histogram basis. The superiority of HE algorithm in enhancing the quality of the photos taken in low light condition is the simplicity of the algorithm itself and it does not need a high specification device for the algorithm to run. One variant of HE algorithm is Contrast Limited Adaptive Histogram Equalization (CLAHE). This paper shows the implementation of HE algorithm and its performance in enhancing the quality of photos taken in low light condition on Android based application and the comparison with CLAHE algorithm. The results show that, HE algorithm is better than CLAHE algorithm.

Speech Enhancement Based on Bionic Wavelet Transform and Correlation Denoising

2014 ◽  
Vol 912-914 ◽  
pp. 1386-1390
Author(s):  
Li Ming Wu ◽  
Yao Fei Li ◽  
Fu Jian Li ◽  
Xin Luo
Keyword(s):  
Correlation Function ◽  
Wavelet Transform ◽  
Speech Enhancement ◽  
Enhancement Effect ◽  
Wavelet Coefficients ◽  
Enhancement Method ◽  
Simulation Results

A new speech enhancement method based on bionic wavelet transform is presented here. Voice signals with noise would be bionic wavelet coefficients by bionic wavelet transform, then, the purpose of speech enhancement can be achieved by means of the bionic wavelet coefficients based on the improved correlation function processing. The simulation results show that the method under the condition of various noises is good speech enhancement effect. Keywords: Speech enhancement; BWT; Correlation de-noising

Kepuasan Masyarakat Terhadap Pelayanan Kelurahan Setelah Pemekaran Di Tangerang Selatan

Liquidity ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 151-159
Author(s):  
Pitri Yandri
Keyword(s):  
Public Perception ◽  
Service Personnel ◽  
Urban Services ◽  
Hospitality Workers ◽  
Care Workers ◽  
Before And After ◽  
Cartesian Diagram ◽  
Better Than

The purpose of this study is (1) to analyze public perception on urban services before and after the expansion of the region, (2) analyze the level of people's satisfaction with urban services, and (3) analyze the determinants of the variables that determine what level of people's satisfaction urban services. This study concluded that first, after the expansion, the quality of urban services in South Tangerang City is better than before. Secondly, however, public satisfaction with the services only reached 48.53% (poor scale). Third, by using a Cartesian Diagram, the second priority that must be addressed are: (1) clarity of service personnel, (2) the discipline of service personnel, (3) responsibility for care workers; (4) the speed of service, (5) the ability of officers services, (6) obtain justice services, and (7) the courtesy and hospitality workers.

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