In SCALE we aim to improve both recognition and synthesis, and to provide richer, more sophisticated models of the speech signal, without sacrificing trainability and the ability to estimate the model parameters from (potentially very small amounts of) data. We focus on trajectory models, reactive speech synthesis, and more sophisticated signal models. In order to be able to test novel methods and algorithms and to make these available for medium-term commercial applications we will use state-of-the-art systems for both recognition and synthesis that the SCALE partners have built in-house and that we therefore can adapt to the results of our R&D efforts.