Awareness of the link with nature is increasingly guiding consumer choice, thus changing way in which formulations and markets are approached.Many brands have understood this now favour formulas materials natural origin.However, formulating a product can be restrictive an impact on olfactory sensoriality.Some may indeed intrinsic odour that will final formulation.The integration fragrances seem...

We formulate conditions for the naturalness of cosmological quintessence scenarios. The quintessence lagrangian is taken to be the sum of a simple exponential potential and a non-canonical kinetic term. This parameterization covers most variants of quintessence and makes the naturalness conditions particularly transparent. Several " natural " scalar models lead, for the present cosmological era...

This article reports the results of two experiments in which factors such as duration, amplitude and noise are manipulated, in order to achieve more natural utterances in synthetic speech. The participants were native speakers of English, instructed to judge the naturalness of the different versions of utterances generated throughout the manipulations. The results indicate that there are signif...

Almost every branch of science has its own version of the “naturalness criterion”. In environmental sciences, it refers to the degree to which an area is pristine, free from human influence, and characterized by native species [2]. In mathematics, its meaning is associated with the intuitiveness of certain fundamental concepts, viewed as an intrinsic part of our thinking [3]. One can find the u...

Balanced and representative test images are needed to study perceived visual quality in various application domains. This study investigates naturalness and interestingness as image quality attributes in the context of test images. Taking a top-down approach we aim to find the dimensions which constitute naturalness and interestingness in test images and the relationship between these high-leve...

One of the challenges in Speech Emotion Recognition (SER) “in the wild” is the large mismatch between training and test data (e.g. speakers and tasks). In order to improve the generalisation capabilities of the emotion models, we propose to use Multi-Task Learning (MTL) and use gender and naturalness as auxiliary tasks in deep neural networks. This method was evaluated in within-corpus and vari...

The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregressive system were used. In this paper we investigate the use of autoregressive clustering for autoregressive HMM-based speech synthesis. We describe decision tree clustering for the autoregressive HMM and highlight dif...