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More and more car manufactures are combining a normal combustion engine and an electric motor to satisfy the standards for CO2 emissions. In order to take advantage of this technology in the most efficient way, for example in companies car fleets, realistic simulation models are required. In this paper, we present an accurate yet computationally inexpensive energy demand model for the microscopic...
We demonstrate audEERING's sensAI technology running natively on low-resource mobile devices applied to emotion analytics and speaker characterisation tasks. A showcase application for the Android platform is provided, where au-dEERING's highly noise robust voice activity detection based on Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) is combined with our core emotion recognition and...
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