Developing Risk Management Mechanism at Fat-and-Oil Industry Enterprises

The aim of the article is consideration of questions associated with the risk management mechanism formation at the Ukrainian fat-and-oil industry enterprises, modern scientific publications on this topical subject and developing risk management mechanism for fat-and-oil industry enterprises in Ukraine. It has been determined the principles of risk management. It has been offered the risk management procedure at the level of the fat-and-oil industry enterprises, which includes the following stages: identification and evaluation of risks, development and analysis of risk management methods, choice of risk management methods, application of the selected methods, monitoring of the results and risk management system improvement. It has been developed the risk management mechanism of fat-and-oil industry enterprises, which allows to distinguish the main components of risk management and to increase their overall efficiency, as well as to facilitate understanding of the risk management mechanism essence and structure, which, in turn, reveals the direction for its improvement

Lip Synchronization by Acoustic Inversion

Talking computer animated characters are a common sight in video games and movies. Although doing the mouth animation by hand gives the best results it is not always feasible because of cost or time constraints. Therefore producing lip animation automatically is highly desirable. The problem can therefore be phrased as mapping from speech to lip animation or in other words as an acoustic inversion. In our work we propose a solution that takes a sequence of input frames of speech and maps it directly to an output sequence of animation frames. The key point is that there is no need for phonemes or visemes which cuts one step in the usual lip synchronization process

Unconventional spin density wave in (TMTSF)2PF6 below T* ~ 4K

The presence of subphases in spin-density wave (SDW) phase of (TMTSF)2PF6 below T* ~ 4K has been suggested by several experiments but the nature of the new phase is still controversial. We have investigated the temperature dependence of the angular dependence of the magnetoresistance in the SDW phase which shows different features for temperatures above and below T*. For T > 4K the magnetoresistance can be understood in terms of the Landau quantization of the quasiparticle spectrum in a magnetic field, where the imperfect nesting plays the crucial role. We propose that below T* ~ 4K the new unconventional SDW (USDW) appears modifying dramatically the quasiparticle spectrum. Unlike conventional SDW the order parameter of USDW depends on the quasiparticle momentum. The present model describes many features of the angular dependence of magnetoresistance reasonably well. Therefore, we may conclude that the subphase in (TMTSF)2PF6 below T* ~ 4K is described as SDW plus USDW.Comment: 7 pages, 9 figures, RevTeX4; misprint corrected, references updated, a few sentences adde

On Generating Combilex Pronunciations via Morphological Analysis

Combilex is a high-quality lexicon that has been developed specifically for speech technology purposes and recently released by CSTR. Combilex benefits from many advanced features. This paper explores one of these: the ability to generate fully-specified transcriptions for morphologically derived words automatically. This functionality was originally implemented to encode the pronunciations of derived words in terms of their constituent morphemes, thus accelerating lexicon development and ensuring a high level of consistency. In this paper, we propose this method of modelling pronunciations can be exploited further by combining it with a morphological parser, thus yielding a method to generate full transcriptions for unknown derived words. Not only could this accelerate adding new derived words to Combilex, but it could also serve as an alternative to conventional letter-to-sound rules. This paper presents preliminary work indicating this is a promising direction

Mage - Reactive articulatory feature control of HMM-based parametric speech synthesis

In this paper, we present the integration of articulatory control into MAGE, a framework for realtime and interactive (reactive) parametric speech synthesis using hidden Markov models (HMMs). MAGE is based on the speech synthesis engine from HTS and uses acoustic features (spectrum and f0) to model and synthesize speech. In this work, we replace the standard acoustic models with models combining acoustic and articulatory features, such as tongue, lips and jaw positions. We then use feature-space-switched articulatory-to-acoustic regression matrices to enable us to control the spectral acoustic features by manipulating the articulatory features. Combining this synthesis model with MAGE allows us to interactively and intuitively modify phones synthesized in real time, for example transforming one phone into another, by controlling the configuration of the articulators in a visual display. Index Terms: speech synthesis, reactive, articulators 1