International Journal of Innovative Research and Development

Abstract

It is a known fact that the engines of development of a nation largely depend upon the people use money and how they optimize the use of money. Perhaps the level of progress can be gauged from the levels of financially capable behavior exhibited by the individuals.

The financial capability is in turn an output of various parameters. Each of the parameters may vary across socioeconomic profile and across nations. The term financial capability can be used interchangeably with financial literacy in many nations. In any case, it is definitely an important predictor of the intensity with which financial inclusion can succeed in a nation. The levels of financial capability precede the onset of financial inclusion and play an instrumental role in speed up the macroeconomic growth. This research paper is an effort to derive a framework for financial capability in Indian context. It also attempts to find the levels of each of the components across socioeconomic profile.

Keywords

Full Text

Abstract

Voice conversion is nothing but the modification of the characteristics of voice signal of one speaker (source speaker) so that it sounds as if it had been pronounced by different speaker (target speaker). In this method of Voice conversion we use the spectral characteristics such as frequency, power spectral density, amplitude etc. As compare to other methods this method provides more efficient transformation because in this method we are using more than one spectral characteristics.

Since, here we are using many characteristics of the signal so we can say that it is an implementation of frequency-warping-based  voice transformation in which only the frequency of both source and target speaker are extracted and modify. Evaluation by objective tests and formal listening tests show that the proposed transform method greatly improves the quality, naturalness as well as noise information of the converted voice signal compared with other proposed transformation methods.

Over the last few years, the interest in voice conversion has risen significantly due to its wide application. Two main aspects of the transformation problem are voice quality and intonation.

In this paper, we focus on the control of noise which present in the voice. More significantly, our aim is to represent by an appropriate model, trained from experimental data, the statistical relations between the spectral envelopes of two different speakers uttering the same text. To differentiate this problem from the general voice transformation task, which would also necessitate a proper analysis and control of the characteristics of signal, we will refer to the control of the spectral envelop as spectral transformation.

Keywords

Full Text

Abstract

Holography is the technique of forming 3 dimensional images by use of lasers, based on the phenomenon of interference and diffraction of light. The British Physicist Dennis Gabor first invented holographic method in year 1971. From then until now many scientist and theoretical physicists have introduced many holography methods each one proving better then the other. In this paper we are trying to study the methods of producing holographic images and using that concept in designing a holographic security system. In this research we shall also study about the use of laser and its use in producing the holographic images. For a better understanding of the concept of  holography we need to understand interference and diffraction. We will try to explore more holography applications as once Elbert Einstein said- "If we knew what it was we were doing, it would not be called research, would it? "  Therefore our main focus is that all the concepts are easy to understand from the perspective of beginners as well as the masters of this field.

Full Text