Gender and Welfare States in East Asia: Confucianism or Equality?

Is a Confucian cultural climate hostile to gender equality in families and public decision-making? What is the impact of gender equality legislation in East Asia? Approaches to these welfare regimes have ignored gender, while gendered accounts of welfare have neglected East Asia. Comparisons with Western welfare states show strong economies with life expectancy in Japan and South Korea above those of Western social democracies but in contrast there are extremely large gender gaps in employment, earning, unpaid work and parliamentary representation and conjoined with this low fertility rates and and minimal public social spending on childcare and early education.

In this volume, contributors address questions about gender equality in a Confucian context across a wide and varied social policy landscape, from Korea and Taiwan, where Confucian culture is deeply embedded, through China, with its transformations from Confucianism to communism and back, to the mixed cultural environments of Hong Kong and Japan. Overall, the collections asks: Has East Asia's rapid economic transformation been accompanied by social and cultural transformation?

Inter-Frame Contextual Modelling For Visual Speech Recognition

In this paper, we present a new approach to visual speech recognition which improves contextual modelling by combining Inter-Frame Dependent and Hidden Markov Models. This approach captures contextual information in visual speech that may be lost using a Hidden Markov Model alone. We apply contextual modelling to a large speaker independent isolated digit recognition task, and compare our approach to two commonly adopted feature based techniques for incorporating speech dynamics. Results are presented from baseline feature based systems and the combined modelling technique. We illustrate that both of these techniques achieve similar levels of performance when used independently. However significant improvements in performance can be achieved through a combination of the two. In particular we report an improvement in excess of 17% relative Word Error Rate in comparison to our best baseline system.