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DeLLA: Deep-Learning-based speech recognition with limited training material

At a glance


Speech recognition systems baed on Deep Neural Networks (DNN) currently brake all records and is being applied already in different products. These systems normally are trained with thousands of hours of training material for applications and languages where these amounts of data are available. In this feasibility study a new training approach for DNNs is developed and evaluated that need significantly less training data.