LeCun, "Very deep multilingual convolutional neural networks for lvcsr," arXiv preprint arXiv:1509.08967, 2015.T. Sercu, C. Puhrsch, B. Kingsbury, and Y. LeCun, "Very deep multilingual convolutional neural networks for LVCSR," CoRR, vol. abs/1509.08967, 2015. [On- line]. Available: ...
7 Deep Convolutional Neural Networks for LVCSR CNN在LVCSR上实际运用 8 Learning Mid-Level Features For Recognition 这篇论文视觉的应该看下,对当前视觉识别框架的分析以及框架个部分的关联,比如coding和pooling技术。 9 Convolutional Networks and Applications in Vision 卷积网络在视觉应用的分析,做视觉的应该看看。
1 Deep Convolutional Network Cascade for Facial Point Detection CNN用在人脸关键点检测工作 2 Applying Convolutional Neural Networks Concepts to Hybrid NN-HMM Model for Speech Recognition CNN运用于语音识别系统 3 ImageNet Classification with Deep Convolutional Neural Networks 12年Hinton组在ImageNet竞赛上的CN...
7 Deep Convolutional Neural Networks for LVCSR CNN在LVCSR上实际运用8 Learning Mid-Level Features For Recognition 这篇论文视觉的应该看下,对当前视觉识别框架的分析以及框架个部分的关联,比如coding和pooling技术。9 Convolutional Networks and Applications in Vision 卷积网络在视觉应用的分析,做视觉的应该看看。文...
Deep Neural Networks for Small Footprint Text-Dependent Speaker Verification 目录 ABSTRACT 1. INTRODUCTION 2. PREVIOUS WORK 3. DNN FOR SPEAKER VERIFICATION 3.1. DNN as a feature extractor 3.2. Enrollment and evaluation 3.3. DNN training procedure ...
15 Improving Deep Neural Networks For LVCSR using Rectified Linear Units and Dropout 利用ReLU和Dropout技术提升DNN-HMM系统 16 Improving the speed of neural networks on CPUs google加速神经网络前向传播速度的工作,如利用定点计算、SIMD技术等 17 Improved Bottleneck Features Using Pretrained Deep Neural Network...
Improvements to deep convolutional neural networks for LVCSR. arXxixxv preprint arXxixxv :1309.1501, 2013. Google Scholar [9] E. Smirnov, North Atlantic Right Whale Call Detection with Convolutional Neural Networks. In Proceedings of the 1st Workshop on Machine Learning for Bioacoustics, ICML 2013...
Convolutional neural networks (CNNs) have been successfully used in many applications where important information about data is embedded in the order of features, such as speech and imaging. However, most tabular data do not assume a spatial relationship between features, and thus are unsuitable fo...
[2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要 1、引言 2、CNN基本组件 2.1 卷积层 2.2 池化层 2.3 激活函数 2.4 批次归一化 2.5 Dropout 2.6 全连接层 3、深度CNN结构演化史 3.1 1980年代末至1999年...
Sainath et al. “Improvements to deep convolutional neural networks for LVCSR,” arXiv.1309.1501v3, Dec. 10, 2013, 7 pages. Sercu et al. “Advances in very deep convolutional neural networks for LVCSR,” arXiv 1604.01792v2, Jun. 25, 2016, 5 pages. ...