Developing a computational representation for electromechanical devices that supports conceptual synthesis of complex devices from simpler subsystems both in terms of device behavior and form has been of serious interest. Proposed approaches in literature consider either the synthesis of device behavior or only of shape depending on the limitations of the device model and computational approach...

Developing a computational representation for electro-mechanical devices that supports conceptual synthesis of complex devices from simpler subsystems both in terms of device behavior and form has been of serious interest. Proposed approaches in literature consider either the synthesis of device behavior or only of shape depending on the limitations of the device model and computational approac...

Speech synthesis is an important modality in Cognitive Infocommunications, which is the intersection of informatics and cognitive sciences. Statistical parametric methods have gained importance in speech synthesis recently. The speech signal is decomposed to parameters and later restored from them. The decomposition is implemented by speech coders. We apply a novel codebook-based speech coding ...

This paper decribes the NII speech synthesis entry for Blizzard Challenge 2016, where the task was to build a voice from audiobook data. The synthesis system is built using the NII parametric speech synthesis framework that utilizes Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) for acoustic modeling. For this entry, we first built a voice using a large data set, and then used the...

This paper presents an approach for complex cepstrum analysis based on the minimum mean squared error criterion, and describes its application to statistical parametric speech synthesis. The proposed method alleviates some of the issues associated with conventional complex cepstrum analysis, such as choice of the window, phase unwrapping, and the need for accurate pitch marks. Given initial est...

In this paper we describe a new parametric model for synthesizing environmental sound textures, such as running water, rain, and fire. Sound texture analysis is cast in the framework of wavelet decomposition and multiresolution statistical models, that have previously found application in image texture analysis and synthesis. We stochastically sample from a model that exploits sparsity of wavel...

Image priors for novel view synthesis have traditionally been non-parametric models based on large libraries of image patch exemplars, producing highquality results but making inference very slow. Recently a parametric framework, called Fields of Experts, has been proposed for image restoration that promises to speed up inference dramatically. In this paper we apply Fields of Experts for the fi...

This paper presents a parametric matching and smoothing method that is applied to a sinusoidal representation and auditory model-based speech analysis/synthesis system. A 2.6kbps speechcoding algorithm is finally derived based on the speech analysis/synthesis system. The synthetic speech is almost same as that of 3.25kbps speech coding algorithm with overlapping and adding method. A linear inte...

The design of optical systems (OS) is a sequential process including stages of the analysis of a technical specification, structural synthesis, parametric optimization etc. Currently there exists a lot of computer-aided design systems (CAD) that can effectively solve the problem of an optical scheme optimization (also known as parametric synthesis), calculating the exact parameters of an optica...

From the system recoverable point of view, this paper discusses robust reconfigurable control synthesis for LTI systems and a class of nonlinear control systems with parametric and additive faults as well as derivations generated by FDI algorithms. By following the model-matching strategy, an augmented optimal control problem is constructed based on the considered faulty and fictitious nominal ...