Design and Exploration of an ARC-Coprocessor for LSTM Based Audio Applications

Machine Learning (ML) techniques are applied to solve automation tasks in more and more scenarios of our daily life. For instance, Keyword Spotting applications are of interest for Internet-of-things devices in a smart home or for human-machine interaction. Different ML techniques, such as Neural Networks including Long-Short Term Memories, recently achieve reasonable accuracy above 95 % [1]. Therefore, we propose an accelerator for the Keyword spotter as a specialized coprocessor in order to retain the flexibility to fit different network structures, while the energy efficiency is increased.