Correcting Position Error in Precipitation Data Using Image Morphing

Rainfall estimates based on satellite data are subject to errors in the position of the rainfall events in addition to errors in their intensity. This is especially true for localized rainfall events such as the convective rainstorms that occur during the monsoon season in sub-Saharan Africa. Many satellite-based estimates use gauge information for bias correction. However, bias adjustment methods do not correct the position errors explicitly. We propose to gauge-adjust satellite-based estimates with respect to the position using a morphing method. Image morphing transforms an image, in our case a rainfall field, into another one, by applying a spatial transformation. A benefit of this approach is that it can take both the position and the intensity of a rain event into account. Its potential is investigated with two case studies. In the first case, the rain events are synthetic, represented by elliptic shapes, while the second case uses real data from a rainfall event occurring during the monsoon season in southern Ghana. In the second case, the satellite-based estimate IMERG-Late (Integrated Multi-Satellite Retrievals for GPM ) is adjusted to gauge data from the Trans-African Hydro-Meteorological Observatory (TAHMO) network. The results show that the position errors can be corrected, while preserving the higher spatial variability of the satellite-based estimate.

Generation of Telugu Emotional Speech from Neutral Speech by using Voice Morphing Algorithm

Voice morphing is the conversion of one voice signal into another voice signal i.e. source voice signal into target voice signal. Like image morphing, the aim of speech morphing is to preserve the pooled properties of the source signal and target signal during the generation of a smooth conversion between them. The major properties of speech signal are its pitch and envelope information. Pitch, duration and intensity of speech signal parameters are considered to get emotional voice from neutral or emotion. We are using TD-PSOLA technique to extract the prosodic parameters and during the training phase.

Coping with negative mental images in social anxiety disorder: Investigating the potential benefits of image morphing

Negative mental imagery contributes to symptom maintenance in social anxiety disorder (SAD). Here, we investigated the effects of image morphing, a brief mental strategy designed to facilitate access to positive images. Participants with SAD and healthy control (HC) participants were randomly assigned to receive either image morphing or supportive counseling. Although initial training and 1-week daily practice were successful in equipping morphing participants across groups with the required skill, those assigned to morphing failed to demonstrate differential improvements in positive affect, negative affect, or self-perception relative to control participants during a subsequent social stress task. Ancillary analyses revealed that the number of positive details contained in retrieved or morphed images prior to the task significantly predicted the level of positive affect reported after the task, but this effect was observed only for HC participants. We discuss the need for future research to refine innovative imagery-based psychotherapeutic strategies for social anxiety.