## Head and facial gestures synthesis using PAD model …

### Head and facial gestures synthesis using PAD model ..

Another common method in speech synthesis, and especially in speech recognition and analysis of prosodic parameters from speech, is for example the use of hidden Markov models (HMMs). The method is based on a statistical approach to simulate real life stochastic processes (Rentzepopoulos et al. 1992). A hidden Markov model is a collection of states connected by transitions. Each transition carries two sets of probabilities: a transition probability, which provides the probability for taking the transition, and an output probability density function, which defines the conditional probability of emitting each output symbol from a finite alphabet, given that that the transition is taken (Lee 1989).

### define every FAP parameter for synthetic facial expression

We present a novel tool for parameter synthesis of piecewise multi-affine dynamical systems from specifications expressed in a hybrid branching-time temporal logic. The tool is based on the algorithm of parallel semi-symbolic coloured model checking that extends standard model checking methods to cope with parametrised Kripke structures. The tool implements state-of-the-art techniques developed in previous research and is primarily intended to be used for the analysis of dynamical systems with uncertain parameters that frequently arise in computational systems biology. However, it can be employed for any dynamical system where the non-linear equations can be sufficiently well approximated by piecewise multi-affine equations.

There has been widespread controversy over the quality and suitably characteristics of these two structures. It is easy to see that good results with only one basic method is difficult to achieve so some efforts have been made to improve and combine these basic models. In 1980 Dennis Klatt (Klatt 1980) proposed a more complex formant synthesizer which incorporated both the cascade and parallel synthesizers with additional resonances and anti-resonances for nasalized sounds, sixth formant for high frequency noise, a bypass path to give a flat transfer function, and a radiation characteristics. The system used quite complex excitation model which was controlled by 39 parameters updated every 5 ms. The quality of Klatt Formant Synthesizer was very promising and the model has been incorporated into several present TTS systems, such as MITalk, DECtalk, Prose-2000, and Klattalk (Donovan 1996). Parallel and cascade structures can also be combined by several other ways. One solution is to use so called PARCAS (Parallel-Cascade) model introduced and patented by Laine (1982) for SYNTE3 speech synthesizer for Finnish. In the model, presented in Figure 5.3, the transfer function of the uniform vocal tract is modeled with two partial transfer functions, each including every second formant of the transfer function. Coefficients k1, k2, and k3 are constant and chosen to balance the formant amplitudes in the neutral vowel to keep the gains of parallel branches constant for all sounds (Laine 1982).

## Face Transfer is a method for mapping ..

Introduction to human visual perception – visual system, eye, constancy, continuation, shadows; Graphics pipeline; Mathematical foundations – sets, functions, coordinates, operations on coordinates, intersections, triangles, polygons; Introduction to OpenGL and WebGL; Shaders – vertex, fragment, GLSL; Transformations – 2D, 3D; Cameras and transformations – perspective and orthographic; Ray casting and rasterization; Basic image processing tools and techniques – convolution, sampling, aliasing, Fourier transform, enlarging, shrinking; Textures – mapping, synthesis; Interaction techniques – multi-touch, mouse-based; Splines – polynomial curves, Hermite curve, cubic B-splines; Meshes – topology, geometry, applications; Light – physics, measurement, reflectance; Materials and scattering – object-level, surface, models; Color – perception, color spaces; Principles of ray tracing and rendering; Basics of motion and animation; Graphics hardware basics.

## Introduction to Verilog Assignments | Hardware …

The speaker's feelings and emotional state affect speech in many ways and the proper implementation of these features in synthesized speech may increase the quality considerably. With text-to-speech systems this is rather difficult because written text usually contains no information of these features. However, this kind of information may be provided to a synthesizer with some specific control characters or character strings. These methods are described later in Chapter 7. The users of speech synthesizers may also need to express their feelings in "real-time". For example, deafened people can not express their feelings when communicating with speech synthesizer through a telephone line. Emotions may also be controlled by specific software to control synthesizer parameters. Such system is for example HAMLET (Helpful Automatic Machine for Language and Emotional Talk) which drives the commercial DECtalk synthesizer (Abadjieva et al. 1993, Murray et al. 1996).

## Introduction to Verilog Assignments ..

Automation: Types of automation, Degree of automation, Technical, economic and human factors in automation, Technologies like Mechanical, Electrical, Hydraulic, etc., Comparative evaluation, Development of automation systems using mechanical devices, pneumatic systems, hydraulic systems, electrical systems and hybrids. Synthesis and analysis, Optimization techniques, Illustrative examples of the above types of systems used for automation of machine tools, Material Handling devices, products etc. Industrial logic control systems, Logic diagramming, Design of servo systems, Design for automation, Cost-benefit analysis. Control: Open loop and closed loop control, Mathematical model of physical systems, Laplace transformation, Transfer functions, Types of controllers, Stability analysis in feedback controls, Transient response analysis of systems, Frequency response methods, Improving system performance, Discrete-time systems and Z-Transform method. Introduction to non-linear control systems, Approach to optimal and adaptive control systems, Micro-processor based digital control, State space analysis.