Speech inversion is a well-known ill-posed problem and addition of speaker differences typically makes it even harder. This paper investigates a vocal tract length normalization (VTLN) technique to transform the acoustic space of different speakers to a target speaker space such that speaker specific details are minimized. The speaker normalized features are then used to train a feed-forward ne...

in order to identify different types of effective weather on patterns of inversion in mashhad, the researchers first prepared the inversion statistics, then, the sea level pressure and finally they prepared access to the zero meeting gmt cumulative 2.5 degrees in the range 20 to 47.5 degrees to 67.5 degrees north and 35 east center, university ncep angelia east of england norwich city. then for...

this paper presents evidence on mesozoic inversion of basin bounding faults within the taleqan-gajereh-lar paleograben (tglp) in central alborz range. for this purpose, well documented stratigraphy data across the tglp together with the new acquired structural data on the geometry and kinematics of the paleograben basin bounding faults are utilized. the tglp has evolved through the early and mi...

This study examined the effects of frontal lobe lesions on the control of movements during motor learning. We compared the performance of patients with unilateral frontal or temporal excisions and controls in two-dimensional aiming movements during adaptation to a transformed visuomotor mapping. Subjects tried to reach a fixed target on a graphics tablet using indirect visual control from a mon...

Seismic full-waveform inversion (FWI) is a nonlinear computational imaging technique that can provide detailed estimates of subsurface geophysical properties. Solving the FWI problem be challenging due to its ill-posedness and high cost. In this work, we develop new hybrid approach solve combines physics-based models with data-driven methodologies. particular, data augmentation strategy not onl...

In this work, we have calculated the Joule-Thomson inversion curve of two important associating fluids, namely water and methanol, from the SAFT equation of state. Comparisons with the available experimental data, for water and methanol indicate that this molecular based equation of state gives good prediction of the low temperature branch; but, unfortunately, due to lack of isenthalpic dat...

We propose an algorithm to compute time and space variant prediction filters for signal-to-noise ratio enhancement. Prediction filtering for seismic signal enhancement is, in general, implemented via filters that are estimated from the inversion of a system of equations in the t− x or f − x domain. In addition, prediction error filters are applied in small windows where the data can be modeled ...

Data regularization is cast as a least-squares inversion problem. The model space is a five-dimensional (t,cmpx, cmpy, hx, hy) hypercube. The regularization minimizes the difference between various (t, cmpx, cmpy) cubes by applying a filter that acts in (hx,hy) plane. Azimuth Move-out is used transform the cubes to the same ( hx,hy) before applying the filter. The methodology is made efficient ...

Seismic waveforms contain much information that is ignored under standard processing schemes; seismic waveform inversion seeks to use the full information content of the recorded wavefield. In this paper I present, apply, and evaluate a frequency-space domain approach to waveform inversion. The method is a local descent algorithm that proceeds from a starting model to refine the model in order ...