The verbal transformation effect:an exploration of the perceptual organization of speech

Six experiments investigated the influence of several grouping cues within the framework of the Verbal Transformation Effect (VTE, Experiments 1 to 4) and Phonemic Transformation Effect (PTE, Experiments 5 and 6), where listening to a repeated word (VTE) or sequence of vowels (PTE) produces verbal transformations (VTs). In Experiment 1, the influence of F0 frequency and lateralization cues (ITDs) was investigated in terms of the pattern of VTs. As the lateralization difference increased between two repeating sequences, the number of forms was significantly reduced with the fewest forms reported in the dichotic condition. Experiment 2 explored whether or not propensity to report more VTs on high pitch was due to the task demands of monitoring two sequences at once. The number of VTs reported was higher when listeners were asked to attend to one sequence only, suggesting smaller attentional constraints on the task requirements. In Experiment 3, consonant-vowel transitions were edited out from two sets of six stimuli words with ‘strong’ and ‘weak’ formant transitions, respectively. Listeners reported more forms in the spliced-out than in the unedited case for the strong-transition words, but not for those with weak transitions. A similar trend was observed for the F0 contour manipulation used in Experiment 4 where listeners reported more VTs and forms for words following a discontinuous F0 contour. In Experiments 5 and 6, the role of F0 frequency and ITD cues was investigated further using a related phenomenon – the PTE. Although these manipulations had relatively little effect on the number of VTs and forms reported, they did influence the particular forms heard. In summary, the current experiments confirmed that it is possible to successfully investigate auditory grouping cues within the VTE framework and that, in agreement with recent studies, the results can be attributed to the perceptual re-grouping of speech sounds.

Organizational change and development in India:a case of strategic organizational change and transformation

Purpose – The purpose of this paper is to examine developments in the field of organizational change (OC) with reference to the context of India. It highlights the need to analyze this topic in the present Indian economic environment and discusses the main developments reported in the Indian literature on the same. Design/methodology/approach – Empirical evidence based on a qualitative analysis of a case study undertaken at a public-private partnership transformation at North Delhi Power Limited (NDPL) in India is presented. Findings – The findings focus on trust building and belongingness for the employees, establishing a high-performance orientation, quality improvements, and the resultant transformations at NDPL. The analysis indicates a number of ways by which NDPL sought to improve its efficiency in order to better adapt to the rapidly changing Indian business environment. Practical implications – Based on the findings, the paper identifies key messages for policy makers and change agents regarding how to transform companies in the rapidly changing business contexts of emerging markets such as India. Originality/value – The paper offers an in-depth analysis of OC practices in a large organization in India.

Introduction:understanding the transformation of the CDU

This article introduces the special issue on the transformation of German Christian Democracy and sets the context for organisational and policy change in the CDU. As a starting point, it identifies both contemporary challenges to the CDU, locating its discussion within the wider literature on European Christian Democracy, and considers the extent to which these apply to the German case. It then outlines the key dimensions of the contemporary CDU which are examined in this collection. © 2013 Association for the Study of German Politics.

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A near real-time water surface detection method based on HSV transformation of MODIS multi-Spectral time series data

In the face of global population growth and the uneven distribution of water supply, a better knowledge of the spatial and temporal distribution of surface water resources is critical. Remote sensing provides a synoptic view of ongoing processes, which addresses the intricate nature of water surfaces and allows an assessment of the pressures placed on aquatic ecosystems. However, the main challenge in identifying water surfaces from remotely sensed data is the high variability of spectral signatures, both in space and time. In the last 10 years only a few operational methods have been proposed to map or monitor surface water at continental or global scale, and each of them show limitations. The objective of this study is to develop and demonstrate the adequacy of a generic multi-temporal and multi-spectral image analysis method to detect water surfaces automatically, and to monitor them in near-real-time. The proposed approach, based on a transformation of the RGB color space into HSV, provides dynamic information at the continental scale. The validation of the algorithm showed very few omission errors and no commission errors. It demonstrates the ability of the proposed algorithm to perform as effectively as human interpretation of the images. The validation of the permanent water surface product with an independent dataset derived from high resolution imagery, showed an accuracy of 91.5% and few commission errors. Potential applications of the proposed method have been identified and discussed. The methodology that has been developed 27 is generic: it can be applied to sensors with similar bands with good reliability, and minimal effort. Moreover, this experiment at continental scale showed that the methodology is efficient for a large range of environmental conditions. Additional preliminary tests over other continents indicate that the proposed methodology could also be applied at the global scale without too many difficulties