Although deep neural networks have facilitated significant progress of neural vocoders in recent years, they usually suffer from intrinsic challenges like opaque modeling, inflexible retraining under ...

Abstract: Vocoders, encoding speech signals into acoustic features and allowing for speech signal reconstruction from them, have been studied for decades. Recently, the rise of deep learning has ...

Astronomical expenditure. Uncertain rates of return. Uneven pace of adoption. By now every firm on Wall Street is well aware of the risks surrounding the artificial intelligence boom. But when it ...

Abstract: Load balancing in data center networks is crucial to effectively utilize network resources and enhance Quality of Service (QoS). Especially, the flowlet-level load balancing has been proven ...