Mitigating Regional Accent Bias in ASR Systems

End-to-end Automatic Speech Recognition (ASR) systems improved drastically in recent years and they work extremely well on many large datasets. However, research shows that these models failed to capture the variability in speech production and have biases against the variant caused by the regional accented speech. Moreover, ASR research on...

Automated Expansion of Statistical Shape Model Training Set for Femur

Active Shape Model (ASM) uses Statistical Shape Model (SSM) to fit the manually labeled landmark point in Magnetic Resonance Image (MRI) scan and segment the femur from the MRI scan. The SSM is trained from a training set containing 275 complete femur meshes. In general, with more femur meshes in the training set, there would be more shape...

Prediction of Vehicles' Trajectories based on Driver Behavior Models

As a component of Dutch Automatic Vehicle Initiative (DAVI) project, this study aims at improving highway driving safety of autonomous vehicle. It is observed that some misbehaved drivers do not use turn indicators forehead a lane change on highway. For a self-driving car in such situations, a lane change is potentially dangerous without an...