Using one dimensional Quantum hydrodynamic (QHD) model Korteweg de Vries (KdV) solitary excitations of electron-acoustic waves (EAWs) have been examined in twoelectron-populated relativistically degenerate super dense plasma. It is found that relativistic degeneracy parameter influences the conditions of formation and properties of solitary structures. Keywords—Relativistic Degeneracy, Electron...

1 Abstract-A new parameter was recently developed by Jeffery M. Fisher (M.S.) for use in Active Structural Acoustic Control (ASAC) which showed potential for achieving better sound radiation reduction than current parameters. This parameter, known as “Vcomp,” uses spatial derivatives to approximate radiation mode shapes and was shown analytically to produce results comparable to control of radi...

worship places are psychologically evolved in human’s mind, because his unconscious mind manifests evolution differently in such places. every religion has its concerning style, while islam and christianity represent two different blazes in two separate places. church and mosque are very important worship places and designers try to create a spiritual sense of place for the audience. whereas ac...

Acoustic models of emotions may benefit from considering the underlying voice production mechanism. This study sought to describe emotional expressions according to physiological variations measured from the inverse-filtered glottal waveform in addition to standard parameter extraction. An acoustic analysis was performed on a subset of the /a/ vowels within the GEMEP database (10 speakers, 5 em...

In this paper, environmental parameter estimation for a shallow ocean is addressed by using wideband shipping noise as a source of acoustic energy. Unknown locations of the broadband acoustic sources are estimated simultaneously with the ocean depth using the approximate Conditional Maximum Likelihood Estimator (CMLE). This procedure is tested via computer simulations and applied to the experim...

This paper proposes a novel speaker adaptation method that exibly controls state-sharing of HMMs according to the amount of adaptation data. In our scheme, acoustic modeling is combined with adaptation to e ciently utilize the acoustic models sharing characteristics for adaptation. The shared-state set of HMMs is determined by using tree-structured shared-state HMMs created from the history rec...

Recently, Deep Neural Networks (DNNs) have shown promise as an acoustic model for statistical parametric speech synthesis. Their ability to learn complex mappings from linguistic features to acoustic features has advanced the naturalness of synthesis speech significantly. However, because DNN parameter estimation methods typically attempt to minimise the mean squared error of each individual fr...

A novel sensor network source localization method based on acoustic energy measurements is presented. This method makes use of the characteristics that the acoustic energy decays inversely with respect to the square of distance from the source. By comparing energy readings measured at surrounding acoustic sensors, the source location during that time interval can be accurately estimated as the ...

This paper describes the acoustic-to-articulatory inversion mapping using a Gaussian Mixture Model (GMM). Correspondence of an acoustic parameter and an articulatory parameter is modeled by the GMM trained using the parallel acousticarticulatory data. We measure the performance of the GMMbased mapping and investigate the effectiveness of using multiple acoustic frames as an input feature and us...