SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND METHOD USING RECURRENT NEURAL NETWORKS

• 1. 口语理解装置和使用该装置的口语理解方法 [P] . 中国专利： CN110428823A . 2019-11-08
• 2. 口语理解和语言模型联合建模方法、对话方法及系统 [P] . 中国专利： CN108962224B . 2020.06.26
• 3. Spoken language understanding system and method using recurrent neural networks [P] . 美国专利： US10679613B2 . 2020.06.09
• 4. SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND METHOD USING RECURRENT NEURAL NETWORKS [P] . 欧洲知识产权局专利： EP3582119A1 . 2019-12-18

  机译： 使用递归神经网络的口语理解系统和方法

• 5. Method for using a Multi-Scale Recurrent Neural Network with Pretraining for Spoken Language Understanding Tasks [P] . 美国专利： US2017053646A1 . 2017-02-23

  机译： 带有预训练的多尺度递归神经网络用于口语理解任务的方法

• 1. Investigation of Automatic Speech Recognition Systems via the Multilingual Deep Neural Network Modeling Methods for a Very Low-Resource Language, Chaha [J] . Tessfu Geteye Fantaye, Junqing Yu, Tulu Tilahun Hailu 信号与信息处理（英文） . 2020,第001期
• 2. Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding [J] . Mesnil Gregoire, Dauphin Yann, Yao Kaisheng, Audio, Speech, and Language Processing, IEEE/ACM Transactions on . 2015,第3期
• 3. Recurrent neural network language generation for spoken dialogue systems [J] . Tsung-Hsien Wen, Steve Young Computer speech and language . 2020,第Sepa期
• 4. Retrieving Dialogue History in Deep Neural Networks for Spoken Language Understanding [J] . Myoung-Wan Koo, Guanghao Xu, Hyunjung Lee, Advances in Science, Technology and Engineering Systems . 2017,第3期
• 5. Investigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding [C] . Grégoire Mesnil, Xiaodong He, Li Deng, Conference of the International Speech Communication Association . 2013
• 6. Deep Neural Language Model for Text Classification Based on Convolutional and Recurrent Neural Networks [D] . Hassan, Abdalraouf. 2018
• 7. How sensory-motor systems impact the neural organization for language: direct contrasts between spoken and signed language [O] . Karen Emmorey, Stephen McCullough, Sonya Mehta, 2014
• 8. CONTEXTUAL DOMAIN CLASSIFICATION IN SPOKEN LANGUAGE UNDERSTANDING SYSTEMS USING RECURRENT NEURAL NETWORK [O] . Puyang Xu, Ruhi Sarikaya 2015

• 1. Recurrent Polynomial Neural Networks for Enhancing Performance of GPS in Electric Systems [J] . Mohammad Reza MOSAVI . 无线传感网络（英文） . 2009,第2期
• 2. Identification of Nonlinear Dynamic Systems Using Diagonal Recurrent Neural Networks [J] . Jing Wang ,Hui Chen(Information Engmeering School University of Science and Techaology Beijing Beijing 100083 China) . 矿物冶金与材料学报：英文版 . 1999,第2期
• 3. Recognition of Arabic Sign Language (ArSL) Using Recurrent Neural Networks [J] . Manar Maraqa ,Farid Al-Zboun ,Mufleh Dhyabat . 智能学习系统与应用（英文） . 2012,第1期
• 4. Adaptive Backstepping Terminal Sliding Mode Control Method Based on Recurrent Neural Networks for Autonomous Underwater Vehicle [J] . Chao Yang ,Feng Yao ,Ming-Jun Zhang . 中国机械工程学报 . 2018,第006期
• 5. 口语对话系统中一种稳健的语言理解算法 [C] . 陈俊燕 ,王作英 . 第七届全国人机语音通讯学术会议 . 2003
• 6. 基于规则与统计方法口语理解的车载语音控制系统的设计与实现 [A] . 杨斌 . 2018