High-Accuracy Neural-Network Models for Speech Enhancement
In this talk we will discuss our recent work on AI techniques that improve the quality of audio signals for both machine understanding and sensory perception. Our best models utilize convolutional-recurrent neural networks. They improve…
Resource Efficient Driving Policy
When attacking the problem of Autonomous Driving, one must take into account strict computational constraints, posed by the desired low cost of sensors and processors, and by the required real-time performance. Specifically, when considering Driving…
Trading-Off Cost of Deployment Versus Accuracy for Predictive Models
Predictive models are finding an increasing number of applications in many industries. As a result, a practical means for trading-off the cost of deploying a model versus its effectiveness is needed. Our work is motivated…