原文链接:https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.100.114101 发表在:PRL 2008 -------------------------------------------------------------------------------------------------------------------------------------------------------------------…

转自:https://www.jiqizhixin.com/articles/7b1646c4-f9ae-4d5f-aa38-a6e5b42ec475  (如有版权问题,请联系本人) 目前绝大多数深度学习模型中的数学都是实数值的,近日,蒙特利尔大学.加拿大国家科学院-能源/材料/通信研究中心(INRS-EMT).微软 Maluuba.Element AI 的多名研究者(其中包括 CIFAR Senior Fellow Yoshua Bengio)在 arXiv 上发布了一篇 NIPS 2017(…

http://karpathy.github.io/2015/05/21/rnn-effectiveness/ There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning. Within a few dozen minutes of training my first…

论文地址:https://ieeexplore.ieee.org/abstract/document/9414462 ICASSP 2021声学回声消除挑战:结合时间对准的自适应回声消除和基于深度学习的残余回声加噪声抑制 摘要: 本文描述了一种用于ICASSP 2021年声学回声消除挑战赛的三级声学回声消除和抑制框架.第一阶段采用分块频域自适应滤波,在不引入近端语音失真的情况下消除线性回声分量,并预先补偿远端参考信号与麦克风信号之间的时延.在第二阶段,提出了一种结合门控循环单元的深复杂U-Net…

NEURAL NETWORKS, PART 1: BACKGROUND Artificial neural networks (NN for short) are practical, elegant, and mathematically fascinating models for machine learning. They are inspired by the central nervous systems of humans and animals – smaller process…

Imagine you're an engineer who has been asked to design a computer from scratch. One day you're working away in your office, designing logical circuits, setting out AND gates, OR gates, and so on, when your boss walks in with bad news. The customer h…

摘要:Abstract—Complex social network analysis methods have been applied extensively in various domains including online social media, biological complex networks, etc. Complex social networks are facing the challenge of information overload. The demand…

A turn-oriented thread and/or process synchronization facility obtains a ticket value from a monotonically increasing ticket counter and waits until a memory location contains a value equal to the ticket value, yielding the processor between polls of…

Their data five data set, 100 single channel of EEG signals, each channel EEG has 4097 data point. to reduce the computation time, they segment each channel with 1024 data sample points per segment. 4 segment with 1024 data samples. Figure 2 showed t…

论文地址:DCCRN:用于相位感知语音增强的深度复杂卷积循环网络 论文代码:https://paperswithcode.com/paper/dccrn-deep-complex-convolution-recurrent-1 引用:Hu Y,Liu Y,Lv S,et al. DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement[J]. arXiv preprint arXiv:…