The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Aicha Bouzid - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of multipitch estimation by multi-scale Product Analysis
2017 International Conference on Engineering & MIS (ICEMIS), 2017Co-Authors: Jihen Zeremdini, Mohamed Anouar Ben Messaoud, Aicha BouzidAbstract:A multi-scale Product comparative study for dominant pitch estimation in a mixture is presented in this paper. Indeed, the multi pitch estimation approach is based on the Autocorrelation of the Multi-scales Product of the composite signal. Then, window length, wavelet type and scales chosen for the Multi-scales Product Analysis have a big influence in the multi pitch estimation. Thus, this study allows us to have the most adaptable length for the window, wavelet and scales for a better pitch estimation. We used the Cooke database and we calculated the gross pitch error rate and the root mean square error for the evaluation and the comparison.
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Multiple fundamental frequencies estimation approaches based on multi-scale Product Analysis
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP), 2017Co-Authors: Jihen Zeremdini, Mohamed Anouar Ben Messaoud, Aicha BouzidAbstract:This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale Product Analysis. The three methods use the autocorrelation of the multi-scale Product Analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.
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A New Biologically Inspired Fuzzy Expert System-Based Voiced/Unvoiced Decision Algorithm for Speech Enhancement
Cognitive Computation, 2016Co-Authors: Mohamed Anouar Ben Messaoud, Aicha Bouzid, Nebrasse EllouzeAbstract:In this paper, we propose a speech enhancement approach for a single-microphone system. The main idea is to apply a specific transformation on the speech signal depending on the voicing state of the signal. We apply a voiced/unvoiced algorithm based on the multi-scale Product Analysis with the use of fuzzy logic to make more cognitively inspired use of speech information. A comb filtering is applied on the voiced frames of the noisy speech signal, and a spectral subtraction is operated on the unvoiced frames of the same signal. Further, the harmonics are enhanced by performing a designed comb filtering using an adjustable bandwidth. The comb filter is tuned by an accurate fundamental frequency estimation method. The fundamental frequency estimation method is based on computing the multi-scale Product Analysis of the noisy speech. Experimental results show that the proposed approach is capable of reducing noise in adverse noise environments with little speech degradation and outperforms several competitive methods.
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NOLISP - Spectral multi-scale Product Analysis for pitch estimation from noisy speech signal
Advances in Nonlinear Speech Processing, 2009Co-Authors: Mohamed Anouar Ben Messaoud, Aicha Bouzid, Noureddine EllouzeAbstract:In this work, we present an algorithm for estimating the fundamental frequency in speech signals. Our approach is based on the spectral multi-scale Product Analysis. It consists of operating a short Fourier transform on the speech multi-scale Product. The multi-scale Product is based on making the Product of the speech wavelet transform coefficients at three successive dyadic scales. The wavelet used is the quadratic spline function with a support of 0.8 ms. We estimate the pitch for each time frame based on its multi-scale Product harmonic structure. We evaluate our approach on the Keele database. Experimental results show the effectiveness of our method presenting a good performance surpassing other algorithms. Besides, the proposed approach is robust for noisy speech.
Mohamed Anouar Ben Messaoud - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of multipitch estimation by multi-scale Product Analysis
2017 International Conference on Engineering & MIS (ICEMIS), 2017Co-Authors: Jihen Zeremdini, Mohamed Anouar Ben Messaoud, Aicha BouzidAbstract:A multi-scale Product comparative study for dominant pitch estimation in a mixture is presented in this paper. Indeed, the multi pitch estimation approach is based on the Autocorrelation of the Multi-scales Product of the composite signal. Then, window length, wavelet type and scales chosen for the Multi-scales Product Analysis have a big influence in the multi pitch estimation. Thus, this study allows us to have the most adaptable length for the window, wavelet and scales for a better pitch estimation. We used the Cooke database and we calculated the gross pitch error rate and the root mean square error for the evaluation and the comparison.
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Multiple fundamental frequencies estimation approaches based on multi-scale Product Analysis
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP), 2017Co-Authors: Jihen Zeremdini, Mohamed Anouar Ben Messaoud, Aicha BouzidAbstract:This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale Product Analysis. The three methods use the autocorrelation of the multi-scale Product Analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.
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Single channel speech separation based on sinusoidal modeling
2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2016Co-Authors: Belhedi Wiem, Mohamed Anouar Ben Messaoud, Bouzid AïchaAbstract:We present an approach of single channel speech separation based on sinusoidal modeling and multi-scale Product Analysis. To construct the sinusoidal model of speech, we need to determine three parameters which are namely frequency, amplitude and phase. For fundamental frequency determination, we apply an effective method based on multi-scale Product Analysis. For amplitude estimation, we adopt an iterative peak picking algorithm. This approach effectively estimates multi-pitch of the desired speaker in a multiple speaker context.
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NOLISP - Spectral multi-scale Product Analysis for pitch estimation from noisy speech signal
Advances in Nonlinear Speech Processing, 2009Co-Authors: Mohamed Anouar Ben Messaoud, Aicha Bouzid, Noureddine EllouzeAbstract:In this work, we present an algorithm for estimating the fundamental frequency in speech signals. Our approach is based on the spectral multi-scale Product Analysis. It consists of operating a short Fourier transform on the speech multi-scale Product. The multi-scale Product is based on making the Product of the speech wavelet transform coefficients at three successive dyadic scales. The wavelet used is the quadratic spline function with a support of 0.8 ms. We estimate the pitch for each time frame based on its multi-scale Product harmonic structure. We evaluate our approach on the Keele database. Experimental results show the effectiveness of our method presenting a good performance surpassing other algorithms. Besides, the proposed approach is robust for noisy speech.
Adam Dubrowski - One of the best experts on this subject based on the ideXlab platform.
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laboratory based vascular anastomosis training a randomized controlled trial evaluating the effects of bench model fidelity and level of training on skill acquisition
Journal of Vascular Surgery, 2007Co-Authors: Ravi Sidhu, Jason Park, Ryan Brydges, Helen Macrae, Adam DubrowskiAbstract:Background Although there is growing evidence that practice on bench model simulators can improve the acquisition of technical skill in surgery, the degree to which these models have to approximate real-world conditions (model fidelity) to optimize learning is unclear. Previous research suggests that low-fidelity models may be adequate for novice learners. The purpose of this study was to assess the effect of model fidelity and surgical expertise on the acquisition of vascular anastomosis skill. Methods Twenty-seven surgical residents participated in this institutional review board–approved study. Junior residents (postgraduate year 1 and 2) and senior residents (postgraduate year 4 or higher) were randomized into two groups: low-fidelity (n = 13) and high-fidelity (n = 14) model training. Both groups were given a 3-hour hands-on training session: the low-fidelity group used plastic models, and the high-fidelity group used human cadaver arms (brachial arteries) to practice graft-to-arterial anastomosis. One week later, all subjects participated in an animal laboratory in which they performed a single vascular anastomosis on a live, anesthetized pig (femoral artery). A blinded vascular surgeon scored candidate performance in the animal laboratory by using previously validated end points, including a checklist and final Product Analysis score. Results Acquisition of skill was significantly affected by model fidelity and level of training as measured by both the checklist ( P = .03) and final Product Analysis ( P = .01; Kruskal-Wallis). Specifically, junior residents practicing on high-fidelity models scored better on the checklist ( P = .05) and final Product Analysis ( P = .04). Senior residents practicing on high-fidelity models scored better on final Product Analysis ( P Conclusions Training in the laboratory does improve skill when assessed in a realistic setting. Both expertise groups showed better skill transfer from the bench model to live animals when practicing on high-fidelity models. For vascular anastomosis, it is important to provide appropriate model fidelity for trainees of different abilities to optimize the effectiveness of bench model training.
Alex Avdeef - One of the best experts on this subject based on the ideXlab platform.
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cocrystal solubility Product Analysis dual concentration ph mass action model not dependent on explicit solubility equations
European Journal of Pharmaceutical Sciences, 2017Co-Authors: Alex AvdeefAbstract:Abstract A novel general computational approach is described to address many aspects of cocrystal (CC) solubility Product (Ksp) determination of drug substances. The CC Analysis program, pDISOL-X, was developed and validated with published model systems of various acid-base combinations of active pharmaceutical ingredients (APIs) and coformers: (i) carbamazepine cocrystal systems with 4-aminobenzoic acid, cinnamic acid, saccharin, and salicylic acid, (ii) for indomethacin with saccharin, (iii) for nevirapine with maleic acid, saccharin, and salicylic acid, and (iv) for gabapentin with 3-hydroxybenzoic acid. In all systems but gabapentin, the coformer is much more soluble than the API. The model systems selected are those with available published dual concentration-pH data, one set for the API and one set for the coformer, generally measured at eutectic points (thermodynamically-stable three phases: solution, cocrystal, and crystalline API or coformer). The carbamazepine-cinnamic acid CC showed a substantial elevation in the API equilibrium concentration above pH 5, consistent with the formation of a complex between carbamazepine and cinnamate anion. The Analysis of the gabapentin:3-hydroxybenzoic acid 1:1 CC system indicated four zones of solid suspensions: coformer (pH 5.62). The general approach allows for testing of many possible equilibrium models, including those comprising drug-coformer complexation. The program calculates the ionic strength at each pH. From this, the equilibrium constants are adjusted for activity effects, based on the Stokes-Robinson hydration theory. The complete speciation Analysis of the CC systems may provide useful insights into pH-sensitive dissolution effects that could potentially influence bioavailability.
Tetsuya Seguchi - One of the best experts on this subject based on the ideXlab platform.
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Product Analysis for polyethylene degradation by radiation and thermal ageing
Radiation Physics and Chemistry, 2013Co-Authors: Masaki Sugimoto, Kiyotoshi Tamura, Akihiko Shimada, Hisaaki Kudoh, Tetsuya SeguchiAbstract:The oxidation Products in crosslinked polyethylene for cable insulation formed during thermal and radiation ageing were analyzed by FTIR-ATR. The Products were composed of carboxylic acid, carboxylic ester, and carboxylic anhydride for all ageing conditions. The relative yields of carboxylic ester and carboxylic anhydride increased with an increase of temperature for radiation and thermal ageing. The carboxylic acid was the primary oxidation Product and the ester and anhydride were secondary Products formed by the thermally induced reactions of the carboxylic acids. The carboxylic acid could be produced by chain scission at any temperature followed by the oxidation of the free radicals formed in the polyethylene. The results of the Analysis led to formulation of a new oxidation mechanism which was different from the chain reactions via peroxy radicals and peroxides. © 2012 Elsevier Ltd.
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Product Analysis for polyethylene degradation by radiation and thermal ageing
Radiation Physics and Chemistry, 2013Co-Authors: Masaki Sugimoto, Kiyotoshi Tamura, Akihiko Shimada, Hisaaki Kudoh, Tetsuya SeguchiAbstract:Abstract The oxidation Products in crosslinked polyethylene for cable insulation formed during thermal and radiation ageing were analyzed by FTIR-ATR. The Products were composed of carboxylic acid, carboxylic ester, and carboxylic anhydride for all ageing conditions. The relative yields of carboxylic ester and carboxylic anhydride increased with an increase of temperature for radiation and thermal ageing. The carboxylic acid was the primary oxidation Product and the ester and anhydride were secondary Products formed by the thermally induced reactions of the carboxylic acids. The carboxylic acid could be produced by chain scission at any temperature followed by the oxidation of the free radicals formed in the polyethylene. The results of the Analysis led to formulation of a new oxidation mechanism which was different from the chain reactions via peroxy radicals and peroxides.
