A necessary step in the generation of expressive speech synthesis is the automatic detection and classification of emotions most likely to be present in textual input. We have recently advocated [1] a new emotion analysis strategy leveraging two separate semantic levels: one that encapsulates the foundations of the domain considered, and one that specifically accounts for the overall affective ...

A necessary step in the generation of expressive speech synthesis is the automatic detection and classification of emotions most likely to be present in textual input. Though increasingly data-driven, emotion analysis still relies on critical expert knowledge to isolate the emotional keywords or keysets necessary to the construction of affective categories. This makes it vulnerable to any discr...

Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesizing and capturing the characteristics of a wide variety of textures, from the highly structured to the stochastic. We use a multiscale synthesis algorithm incorporating local annealing to obtain larger realizations of texture visually indistinguishable from the training texture.

Texture synthesis is the field of computer graphics and related basic core issues. Studies have shown that the MRF model-based two-dimensional image texture synthesis algorithm, the synthesis results are directly affected by the magnitude of the impact of random images; that is consistent with a high degree of MRF model is better than other texture synthesis texture. The same time, the quality ...

In this paper we present noncausal, nonparametric, multiscale, Markov Random Field (MRF) model for synthesising and recognising texture. The model has the ability to capture the characteristics of a wide variety of textures, varying from the structured to the stochastic. For texture synthesis, we use our own novel multiscale approach, incorporating local annealing, allowing us to use large neig...

Disorientation induced by G-forces during aerobatic flight generates difficulties for the pilots to perfectly align their aerobatic maneuver. This paper presents a modular wearable system for enhancing training of aerobatic pilots. A combination of accelerometers and a gyroscope is used to detect possible deviations compared to the optimum trajectory. The wearable system informs the user in rea...

The present paper reports on the DFKI entry to the Blizzard challenge 2008. The main difference of our system compared to last year is a new join model inspired by last year’s iFlytek paper; the effect seems small, but measurable in the sense that it leads to the selection of longer chunks of consecutive units. In interpreting the results of the listening test, we correlate the ratings to vario...

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