Name
Affiliation
Papers
XUGANG LU
National Institute of Information and Communications Technology, Tokyo, Japan 184-8795
82
Collaborators
Citations 
PageRank 
105
180
33.11
Referers 
Referees 
References 
444
811
549
Search Limit
100811
Title
Citations
PageRank
Year
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System00.342021
MetricGAN+ - An Improved Version of MetricGAN for Speech Enhancement.20.382021
Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification00.342021
A Study of Incorporating Articulatory Movement Information in Speech Enhancement00.342021
Coupling a Generative Model With a Discriminative Learning Framework for Speaker Verification00.342021
UNSUPERVISED NEURAL ADAPTATION MODEL BASED ON OPTIMAL TRANSPORT FOR SPOKEN LANGUAGE IDENTIFICATION00.342021
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport.00.342021
Investigation of NICT Submission for Short-Duration Speaker Verification Challenge 2020.00.342020
Incorporating Broad Phonetic Information for Speech Enhancement00.342020
Joint Training End-to-End Speech Recognition Systems with Speaker Attributes.00.342020
Wavecrn: An Efficient Convolutional Recurrent Neural Network For End-To-End Speech Enhancement10.352020
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training.00.342020
Compensation on x-vector for Short Utterance Spoken Language Identification.00.342020
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.00.342019
Class-Wise Centroid Distance Metric Learning for Acoustic Event Detection00.342019
Incorporating Symbolic Sequential Modeling for Speech Enhancement.00.342019
Interactive Learning Of Teacher-Student Model For Short Utterance Spoken Language Identification10.342019
Incorporating Symbolic Sequential Modeling for Speech Enhancement.30.422019
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation20.452019
End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition10.362019
Specialized Speech Enhancement Model Selection Based on Learned Non-Intrusive Quality Assessment Metric10.362019
Investigating Radical-Based End-to-End Speech Recognition Systems for Chinese Dialects and Japanese20.392019
Speech Dereverberation Based on Integrated Deep and Ensemble Learning.00.342018
Improving Very Deep Time-Delay Neural Network With Vertical-Attention For Effectively Training CTC-Based ASR Systems.00.342018
Temporal Attentive Pooling for Acoustic Event Detection.00.342018
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks.90.582018
Study of articulators' contribution and compensation during speech by articulatory speech recognition.00.342018
Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement00.342018
Multi-Metrics Learning for Speech Enhancement.00.342017
A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation.100.532017
Maximum-a-Posteriori-Based Decoding for End-to-End Acoustic Models.10.352017
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks.100.592017
Incremental training and constructing the very deep convolutional residual network acoustic models00.342017
Regularization of neural network model with distance metric learning for i-vector based spoken language identification.30.382017
Conditional Generative Adversarial Nets Classifier For Spoken Language Identification00.342017
Speaker Adaptive Training Localizing Speaker Modules In Dnn For Hybrid Dnn-Hmm Speech Recognizers00.342016
Automatic acoustic segmentation in N-best list rescoring for lecture speech recognition00.342016
Wavelet speech enhancement based on nonnegative matrix factorization30.372016
Comparison of regularization constraints in deep neural network based speaker adaptation00.342016
A pseudo-task design in multi-task learning deep neural network for speaker recognition00.342016
Incorporating Local Environment Information With Ensemble Neural Networks To Robust Automatic Speech Recognition00.342016
Combination of multiple acoustic models with unsupervised adaptation for lecture speech transcription.10.392016
Confidence estimation for speech recognition systems using conditional random fields trained with partially annotated data00.342016
Training data pseudo-shuffling and direct decoding framework for recurrent neural network based acoustic modeling10.352015
Sparse Representation With Temporal Max-Smoothing For Acoustic Event Detection10.372015
Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm.30.392015
Speaker Adaptive Training For Deep Neural Networks Embedding Linear Transformation Networks30.392015
Ensemble Speaker Modeling Using Speaker Adaptive Training Deep Neural Network For Speaker Adaptation10.352015
Ensemble environment modeling using affine transform group.00.342015
Signal to noise ratio estimation based on an optimal design of subband voice activity detection00.342014
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