Keith Vertanen (HCC) has received a Research Excellence Fund (REF) seed grant from Michigan Tech for his project entitled, “Automatic Speech Recognition using Deep Neural Networks”. This one-year project has a budget of $45,421. This project will create a state-of-the-art speech recognition engine based on deep neural networks. The recognizer will be used to investigate speech-based interactive systems for instrumented physical environments (e.g. cars) and person-centric devices (e.g. augmented reality smartglasses). The recognizer will also be used to investigate the input of Java source code by voice.
Zhenlin Wang (CS/SAS) has received an REU supplement of $15,876 to his NSF award entitled, “CSR:Small: Effective Sampling-Based Miss Ratio Curves: Theory and Practice”. The supplement will support two undergraduate students for one year, offering research experiences in cache modeling for modern multi-core processors and datacenter key-value stores.