Chinese speaker-recognition based on ARMA model

lIntroductiollSpeakerrecognitioncanbewidelyusedinpublicsecurity,insurance,secrecy,bankingetc.Manyscholarshavespendseveraldecadesstudyingthissubject,andhavegottenmanyachievements,buttherearesomedisadvantagesintheirmethods.Forexample,thegeneralinformation,includingthechargeofvocaltractwhendifferentcontentspeechisspoken,heavilyblursanddestroysindividualinformation,sotheperformanceofrecognitionisnotgood.Insomemethods,thelong-timespeechmaterialisusedtogatherindividualcharacteristicsandthecomplextra…     

A local fuzzy method based on “p-strong” community for detecting communities in networks

In this paper,we propose a local fuzzy method based on the idea of "p-strong" community to detect the disjoint and overlapping communities in networks.In the method,a refined agglomeration rule is designed for agglomerating nodes into local communities,and the overlapping nodes are detected based on the idea of making each community strong.We propose a contribution coefficient b_v~(ci)to measure the contribution of an overlapping node to each of its belonging communities,and the fuzzy coefficients of the overlapping node can be obtained by normalizing the b_v~(ci) to all its belonging communities.The running time of our method is analyzed and varies linearly with network size.We investigate our method on the computergenerated networks and real networks.The testing results indicate that the accuracy of our method in detecting disjoint communities is higher than those of the existing local methods and our method is efficient for detecting the overlapping nodes with fuzzy coefficients.Furthermore,the local optimizing scheme used in our method allows us to partly solve the resolution problem of the global modularity.     

Semi-blind image restoration based on Chan-Vese denoising model

A semi-blind image restoration algorithm is proposed based on reduced non-convex approximation of Luminita Vese and Tony Chan's(C-V)denoising model.Compared with C-V denoising model,we modify the fidelity term and add a term on point spread function(PSF).The function depends on two variables: the image function to be restored u and the standard deviation of Gaussian kernel to be estimatedσ. Then the problems consist in solving a system with two coupled equations.Compared with the Leah Bar's semi-blind image restoration model which must solve three coupled equations,our method only needs to solve two equations.Furthermore,the estimation of f by our algorithm is superior to Leah Bar's algorithm. The experimental results demonstrate that the proposed method is effective.     

Improving the empirical model for plasma nitrided AISI 316L corrosion resistance based on M?ssbauer spectroscopy

Traditional plasma nitriding treatments using temperatures ranging from approximately 650 to 730 K can improve wear, corrosion resistance and surface hardness on stainless steels. The nitrided layer consists of some iron nitrides: the cubic ?? ^?? phase (Fe₄N), the hexagonal phase ?? (Fe_2???3N) and a nitrogen supersatured solid phase ?? _N . An empirical model is proposed to explain the corrosion resistance of AISI 316L and ASTM F138 nitrided samples based on Mössbauer Spectroscopy results: the larger the ratio between ?? and ?? ^?? phase fractions of the sample, the better its resistance corrosion is. In this work, this model is examined using some new results of AISI 316L samples, nitrided under the same previous conditions of gas composition and temperature, but at different pressure, for 3, 4 and 5 h. The sample nitrided for 4 h, whose value for ??/?? ^?? is maximum (=?0.73), shows a slightly better response than the other two samples, nitrided for 5 and 3 h (??/?? ^?? = 0.72 and 0.59, respectively). Moreover, these samples show very similar behavior. Therefore, this set of samples was not suitable to test the empirical model. However, the comparison between the present results of potentiodynamic polarization curves and those obtained previously at 4 and 4.5 torr, could indicated that the corrosion resistance of the sample which only presents the ?? _N phase was the worst of them. Moreover, the empirical model seems not to be ready to explain the response to corrosion and it should be improved including the ?? _N phase.     

Speech emotion recognition based on statistical pitch model

A modified Parzen-window method, which keep high resolution in low frequencies and keep smoothness in high frequencies, is proposed to obtain statistical model. Then, a gender classification method utilizing the statistical model is proposed, which have a 98% accuracy of gender classification while long sentence is dealt with. By separation the male voice and female voice, the mean and standard deviation of speech training samples with different emotion are used to create the corresponding emotion models. Then the Bhattacharyya distance between the test sample and statistical models of pitch, are utilized for emotion recognition in speech. The normalization of pitch for the male voice and female voice are also considered, in order to illustrate them into a uniform space. Finally, the speech emotion recognition experiment based on K Nearest Neighbor shows that, the correct rate of 81% is achieved, where it is only 73.85% if the traditional parameters are utilized.     

Robust speech features representation based on computational auditory model

A speech signal processing and features extracting method based on computational auditory model is proposed. The computational model is based on psychological, physiological knowledge and digital signal processing methods. In each stage of a hearing perception system, there is a corresponding computational model to simulate its function. Based on this model, speech features are extracted. In each stage, the features in different kinds of level are extracted. A further processing for primary auditory spectrum based on lateral inhibition is proposed to extract much more robust speech features. All these features can be regarded as the internal representations of speech stimulation in hearing system. The robust speech recognition experiments are conducted to test the robustness of the features. Results show that the representations based on the proposed computational auditory model are robust representations for speech signals.     

Multi-choice opinion dynamics model based on Latané theory

The European Physical Journal B - Based on recently obtained from Kolmogorov–Feller equation exact analytical results for the steady-state probability density function of nonlinear dynamical...     

Signal amplification based on the local nonlinear Mach–Zehnder interferometer

Using the phase modulation of spatial solitons, a new scheme for all-optical signal amplification has been proposed in this paper. The considered structure is composed of the nonlinear Mach–Zehnder interferometer (NMZI) with the straight control waveguide (CWG), the uniform nonlinear medium (NLM) and the linear output waveguide. The local NMZI functions like a phase shifter. The light-induced index changes in the local nonlinear MZI are responsible for the input beam routing in the uniform nonlinear medium. The coupling of the input beam to the output waveguide depends on its propagation direction in the NLM. It is shown that the signal launched at CWG can deflect the beam launched at the NMZI (input beam) and a modulated (amplified) output could be obtained at the output waveguide. Further, signal pulse may be reshaped by appropriately increasing the NLM length. In addition, amplification factor may be enhanced by increasing the NLM length and injecting an appropriate continuous wave beam along with the signal beam at CWG.     

Research on hoarse speech based on vocal cord model and glottal waveform

1.1ntroductionResearchonhoarsespeechhassignificanceinnon-contactauto-diagnosisforlaryngealdis-easesaswellasinphoniatrics,voicecareandsingingacoustics.Itisalsoimportantforspeechcommunication,speechsynthesis,andspeechrecognitionandunderstanding.Themainnon-invasivedetectionmeansoflaryngealdiseasesarespectrogramandelectroglottogram.Spec-trogramisusedtoanalyzespeechsignalbydisplayingtherelationsamongsoundintensity,.frequencyandtimeIl'2].Spectrogramsofnormalspeechdisplaygroupsofregularspectrallines…     

A synthesis method based on speech production and articulatory model

l introductionUsing articulatory synthesis to produce formant targeted voices can not only succeed theadvantages of a formant synthesizer, viz., the pitch and formant parameters can be axtificiallyspecified or modified flexibly and easily, but also can facilitate high quality with an articulatorysynthesizer. It is a worthy topic in speech techniques.SpeeCh synthesis has been studied deeply and many attentions have been shifted to utilizing prosody in text-to-speech system. However, the ultimat…     

Scanner color management model based on improved back-propagation neural network

Scanner color management is one of the key techniques for color reproduction in information optics.A new scanner color management model is presented based on analyzing rendering principle of scanning objects. In this model,a standard color target is taken as experimental sample.Color blocks in color shade area are used to substitute complete color space to solve the difficulties in selecting experimental color blocks. Immune genetic algorithm is used to correct back-propagation neural network(BPNN)to speed up the convergence of the model.Experimental results show that the model can improve the accuracy of scanner color management.     

Research of bright pupil effect based on Chinese human eye model

An optical model of bright pupil effect based on Chinese human eye model is presented. The effects of the incident rays angle and the size of pupil on bright pupil effect are analyzed theoretically. For the incident rays with 5°–15° field of view, the spot diagram of emergent light is also presented. With the pupil diameters of 3–8 mm, the intensity distributions formed by emergent light are calculated. The optical model of bright pupil effect based on Chinese human eye provides a suitable model for the related further research studies and applications on bright pupil effect with Chinese eye.     

Audio watermarking based on psychoacoustic model and critical band wavelet transform

Watermark embedding algorithm based on critical band wavelet transform of digital audio signal is proposed in this paper. The masking threshold for each audio signal segment was calculated on the basic of psychoacoustic model. According to the similarity between critical band of human auditory system and critical band wavelet transform, a watermark was embedded into the low-band and mid-band coefficients of digital wavelet. The embedding strength was adaptively controlled by the masking threshold. The experiment results show that the embedded watermark signal is inaudible, and the watermarked audio signal has good robustness against many attacks such as compression, noise, re-sampling, low-pass filtering.     

Multifractal properties of denaturation process based on Peyrard–Bishop model

DNA has attracted the interest of physicists for a long time. One interesting theoretical question is its melting behavior. The Rényi dimension spectrum of the melting transition of DNA, reveals the multifractal nature of the dynamics of the Peyrard–Bishop model. In this Letter, the effects of different parameters involved in the Peyrard–Bishop model on the multifractal nature of the melting dynamics of a DNA chain are investigated in details. As a result, it can be concluded that not only the best multifractality nature of the model arises from the Morse potential term which is taken in the model but also the multifractal nature of the model is independent of the homogeneity, the length of chain, stacking terms, the thermal bath simulation methods and even the potentials which describe the interaction between the two bases in a pair. Furthermore, our results confirm that, the best potential to describe the interactions between the bases in pairs in the PB and PBD models is the Morse potential.     

Minor hysteresis loops model based on exponential parameters scaling of the modified Jiles–Atherton model

In this present work, the minor hysteresis loops model based on parameters scaling of the modified Jiles–Atherton model is evaluated by using judicious expressions. These expressions give the minor hysteresis loops parameters as a function of the major hysteresis loop ones. They have exponential form and are obtained by parameters identification using the stochastic optimization method “simulated annealing”. The main parameters influencing the data fitting are three parameters, the pinning parameter k, the mean filed parameter α and the parameter which characterizes the shape of anhysteretic magnetization curve a. To validate this model, calculated minor hysteresis loops are compared with measured ones and good agreements are obtained.     

Application of PWM dimming based on Grassmann optical model北大核心CSCD

针对发光二极管（light-emitting diode,LED）光源颜色和光通量精准调控难度高,在生产应用中,调控操作需在电脑等设备上进行的问题,基于格拉斯曼颜色混合定律,结合脉宽调制(pulse width modulation,PWM)调控LED的特性,建立表示PWM与LED照度关系的数学模型,以STM 32微控制器为核心设计了三基色LED调光调色系统。对系统分别进行单色、双色和3色的混光照度实验,数字照度计的测量值与光照数学模型的理论值对比结果表明,该系统在0~370 lx区间内系统的光源照度误差≤4%,合成光色共16 777 216种,且对光源颜色和光通量的调控操作可直接在系统上完成,无需接入其他设备,减少了操作流程,满足工业视觉检测、农作物补光照明和文化旅游对光源颜色和照度的需求。     

A new speech synthesis method based on the LMA vocal tract model

1IntroductionTheChinesetext-to-speechsynthesishasmadearapidprogressinrecentyears.ManyphoneticiansandtechnicianshavebeencooperatingforyearsandhavegotdeeperinsightsintotheChineseprosodicruleswhicharethebasesforanaturaloutput.Atthesametime,awavelet-concatenate-synthesisalgorithmnamedPSOLA(Pitch-SynchronousOverlapAdd),verypopularlyusedinrecentyears,hasimprovedthesynthesisqualitytoamuchhigherlevelthanthetraditionalparameter-synthesisalgorithms(e.g.theFormantandLPCalgorithms).Theresultsofthene…     

Landauer–Datta–Lundstrom model for terahertz transistor amplifier based on graphene

A transistor has been considered in the form of three electrodes connected by graphene ribbons or by metal quantum wires (nanowires) that operate on the principle of the current control by the changing voltage at the central electrode (gate). The analysis has been carried out according to the Landauer–Datta–Lundstrom model in equilibrium approximation for electrodes while fixing their potentials. We have obtained linear models and nonlinear terms in the determining current, and calculated the nonlinear current–voltage performances of graphene nanoribbons.     

Folding model analysis of the nucleus–nucleus scattering based on Jacobi coordinates

This paper presents the results of scattering of ¹⁶O+²⁰⁹Bi interaction near the Coulomb barrier. The interaction potential between two nuclei is calculated using the double folding model with the effective nucleon–nucleon (NN) interaction. The calculations of the exchange part of the interaction were assumed to be of finite-range and the density dependence of the NN interaction is accounted for. Also the results are compared with the zero-range approximation. All these calculations are done using the wave functions of the two colliding nuclei in place of their density distributions. The wave functions are obtained by the D-dimensional wave equation using the hyperspherical calculations on the basis of Jacobi coordinates. The numerical results for the interaction potential and the differential scattering are in good agreement with the previous works.