J. Torres

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In recent years there has been growing interest in discriminative parameter training techniques, resulting from notable improvements in speech recognition performance on tasks ranging in size from digit recognition to Switchboard. Typified by Maximum Mutual Information (MMI) or Minimum Classification Error (MCE) training, these methods assume a fixed(More)
In recent years there has been growing interest in discrimi-native parameter training techniques, resulting from notable improvements in speech recognition performance on tasks ranging in size from digit recognition to Switchboard. Typified by Maximum Mutual Information training, these methods assume a fixed statistical modeling structure, and then optimize(More)
In the last few years, new software paradigms, such as Aspect-Oriented Software Development (AOSD) or Model Driven Development (MDD), have been brought up in order to improve software adaptability to changes. MDA improves the adaption to different technologies by means of three different levels of modelling. This paper is focused on the platform specific(More)
Aspect oriented programming is a way of reducing the complexity of software development, in the sense that it is easier to reason about isolated concepts. The complexity of web applications has been increasing in the last few years, mainly, because customers are requesting more and more. We think that advanced separation of concerns can be a good strategy(More)