Name
Affiliation
Papers
MENG CAI
Tsinghua Univ, Dept Elect Engn, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
20
Collaborators
Citations 
PageRank 
31
68
8.24
Referers 
Referees 
References 
183
376
236
Search Limit
100376
Title
Citations
PageRank
Year
Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning00.342018
An Open Vocabulary OCR System with Hybrid Word-Subword Language Models20.392017
Sequence Discriminative Training for Offline Handwriting Recognition by an Interpolated CTC and Lattice-Free MMI Objective Function10.372017
Compact and Efficient WFST-Based Decoders for Handwriting Recognition10.362017
A Compact CNN-DBLSTM Based Character Model for Offline Handwriting Recognition with Tucker Decomposition50.442017
Discriminative Boosting Algorithm for Diversified Front-End Phonotactic Language Recognition00.342016
Maxout neurons for deep convolutional and LSTM neural networks in speech recognition130.572016
The Thuee System For The Openkws14 Keyword Search Evaluation30.392015
Calibration of word posterior estimation in confusion networks for keyword search.00.342015
Convolutional maxout neural networks for speech separation.30.472015
High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation40.412015
THUEE language modeling method for the OpenKWS 2015 evaluation.10.362015
Neuron Sparseness Versus Connection Sparseness In Deep Neural Network For Large Vocabulary Speech Recognition10.352015
Investigation Of Bottleneck Features And Multilingual Deep Neural Networks For Speaker Verification70.462015
Improved system fusion for keyword search10.352015
Stochastic pooling maxout networks for low-resource speech recognition30.402014
Convolutional maxout neural networks for low-resource speech recognition70.492014
Variance regularization of RNNLM for speech recognition80.552014
Phonotactic language recognition based on DNN-HMM acoustic model40.412014
Temporal kernel neural network language model40.462013