Temporal dynamics is an important feature of speech that distinguishes speech from noise, as well as distinguishing between different speakers. In this paper, we present an approach to extract long-range temporal dynamics of speech for text-independent speaker recognition. We aim to maximize the noise immunity arising from the distinct temporal dynamics of speech. The new approach achieves this...

Recently, the author read the Alicki-Van Ryn test as to behavior of photons in a test of violations of classicality. The same thing is proposed via use of a spin two graviton, using typical spin 2 matrices. While the technology currently does not exist to perform such an analysis yet, the same sort of thought experiment is proposed in a way to allow for a first principle test of the either clas...

Coating of a surface by droplet spreading plays an important role in many novas industrial processes, such as plasma spray coating, ink jet printing, nano safeguard coatings and nano self-assembling. Data analysis of nano and micro droplet spreading can be widely used to predict and optimize coating processes. In this article, we want to select the most appropriate statistical distribution for ...

This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine learning techniques.There are various measures through which a machine learns translations quality. Automatic Evaluation metrics produce good co-relation at corpus level but cannot produce the same results at the same se...

Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial ordered probit (DSOP) model in order to capture...

Helicoverpa armigera is an important pest of cotton and other agricultural crops in the Old World. Its wide host range, high mobility and fecundity, and the ability to adapt and develop resistance against all common groups of insecticides used for its management have exacerbated its pest status. An understanding of the population genetic structure in H. armigera under Indian agricultural condit...

Particle filtering is currently an area of intensive study. Because it is a sampling algorithm, particle filtering can be used easily with hybrid and continuous Dynamic Baysian Network (DBN)s. However, particle filtering is not a panacea for all dynamic Bayesian networks. In this project, we implemented three alternative inference algorithms for DBNs, namely, unrolling with generic variable eli...