The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …

Deep neural networks (DNNs) display good performance in the domains of recognition and
prediction, such as on tasks of image recognition, speech recognition, video recognition …

Robust voice activity detection (VAD) is a challenging task in low signal-to-noise (SNR)
environments. Recent studies show that speech enhancement is helpful to VAD, but the …

As one of the most challenging and promising topics in speech field, emotion speech
synthesis is a hot topic in current research. At present, the emotion expression ability …

Deep neural networks provide good performance in image recognition, voice recognition,
pattern recognition, and intrusion detection. However, deep neural networks are vulnerable …

In this paper, we propose a method for defending against audio adversarial examples that
operates by applying audio style transfer learning. The proposed method has the effect of …

Sound field reproduction using Higher-order Ambisonics (HOA) has many studies in recent
years. However, in the HOA, sound fields are reproduced with the least square solution of …

Voice activity detection (VAD) plays an important role as a pre-processing block in many
speech processing applications like speech coding, speech enhancement, speech …

对于小样本电磁信号识别, 数据增强是一种最为直观的对策. 利用生成对抗网络(GAN)
产生虚假信号样本, 设计粗粒度和细粒度筛选机制对生成信号进行筛选, 剔除质量较差的生成 …

Modern technology has ushered in a transformative era for individuals with physical
disabilities, offering new possibilities for enhanced independence. This proposal introduces …