| Enhance Rnnlms with Hierarchical Multi-Task Learning for ASR. | 0 | 0.34 | 2022 |
| Modeling Speech Structure to Improve T-F Masks for Speech Enhancement and Recognition | 0 | 0.34 | 2022 |
| Steering vector correction in MVDR beamformer for speech enhancement | 0 | 0.34 | 2022 |
| Word Similarity Based Label Smoothing in Rnnlm Training for ASR | 0 | 0.34 | 2021 |
| Personalizing TTS Voices for Progressive Dysarthria | 0 | 0.34 | 2021 |
| Voice Conversion for Persons with Amyotrophic Lateral Sclerosis | 0 | 0.34 | 2020 |
| A Novel Method to Correct Steering Vectors in MVDR Beamformer for Noise Robust ASR | 0 | 0.34 | 2019 |
| DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software | 0 | 0.34 | 2019 |
| GLSNet: Global and Local Streams Network for 3D Point Cloud Classification | 0 | 0.34 | 2019 |
| Multi-Objective Multi-Task Learning on RNNLM for Speech Recognition. | 0 | 0.34 | 2018 |
| Slim Embedding Layers for Recurrent Neural Language Models. | 0 | 0.34 | 2018 |
| Structured Sparse Spectral Transforms and Structural Measures for Voice Conversion. | 0 | 0.34 | 2018 |
| Ensemble Acoustic Modeling for CD-DNN-HMM Using Random Forests of Phonetic Decision Trees | 1 | 0.36 | 2016 |
| A Novel Static Parameter Calculation Method For Model Compensation | 0 | 0.34 | 2015 |
| Integrated exemplar-based template matching and statistical modeling for continuous speech recognition. | 1 | 0.35 | 2014 |
| Multilevel sampling and aggregation for discriminative training | 0 | 0.34 | 2014 |
| Building an ensemble of CD-DNN-HMM acoustic model using random forests of phonetic decision trees | 4 | 0.40 | 2014 |
| Building Acoustic Model Ensembles by Data Sampling With Enhanced Trainings and Features | 7 | 0.48 | 2013 |
| Real and imaginary modulation spectral subtraction for speech enhancement | 14 | 0.71 | 2013 |
| Boltzmann machine learning with the latent maximum entropy principle | 3 | 0.45 | 2012 |
| The latent maximum entropy principle | 13 | 1.38 | 2012 |
| New Methods For Template Selection And Compression In Continuous Speech Recognition | 4 | 0.41 | 2011 |
| On The Effectiveness Of Statistical Modeling Based Template Matching Approach For Continuous Speech Recognition | 3 | 0.39 | 2011 |
| Clustering of bootstrapped acoustic model with full covariance | 2 | 0.37 | 2011 |
| Spectral subtraction on real and imaginary modulation spectra | 4 | 0.46 | 2011 |
| Data sampling ensemble acoustic modelling in speaker independent speech recognition | 2 | 0.45 | 2010 |
| Speech-recognition technology in health care and special-needs assistance [Life Sciences] | 1 | 0.37 | 2009 |
| Semi-tied covariance matrices for acoustic models based on random forests of phonetic decision trees | 0 | 0.34 | 2009 |
| Data sampling based ensemble acoustic modelling | 5 | 0.55 | 2009 |
| Random Forests of Phonetic Decision Trees for Acoustic Modeling in Conversational Speech Recognition | 16 | 0.93 | 2008 |
| Fast noise compensation and adaptive enhancement for speech separation | 1 | 0.35 | 2008 |
| Speech Separation Algorithms For Multiple Speaker Environments | 2 | 0.44 | 2008 |
| Knowledge-Based Adaptive Decision Tree State Tying for Conversational Speech Recognition | 2 | 0.42 | 2007 |
| Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognition | 1 | 0.36 | 2007 |
| A fast and memory-efficient N-gram language model lookup method for large vocabulary continuous speech recognition | 7 | 0.60 | 2007 |
| A novel method of language modeling for automatic captioning in TC video teleconferencing. | 5 | 0.48 | 2007 |
| Fast Noise Compensation for Speech Separation in Diffuse Noise | 1 | 0.36 | 2006 |
| Speedup convergence and reduce noise for enhanced speech separation and recognition | 5 | 0.62 | 2006 |
| Gradient Boosting Learning Of Hidden Markov Models | 2 | 0.41 | 2006 |
| An Automatic Captioning System For Telemedicine | 17 | 1.03 | 2006 |
| Random Forests-Based Confidence Annotation Using Novel Features from Confusion Network | 9 | 0.78 | 2006 |
| Improved Confusion Network Algorithm and Shortest Path Search from Word Lattice | 18 | 1.07 | 2005 |
| Acoustic Model Training Using Greedy EM | 0 | 0.34 | 2005 |
| Incremental largest margin linear regression and MAP adaptation for speech separation in telemedicine applications | 0 | 0.34 | 2005 |
| Variable step size adaptive decorrelation filtering for competing speech separation | 2 | 0.40 | 2005 |
| Combining Statistical Language Models via the Latent Maximum Entropy Principle | 12 | 0.57 | 2005 |
| A Locally Weighted Learning Method For Online Approximation Based Control | 2 | 0.39 | 2005 |
| Learning mixture models with the regularized latent maximum entropy principle. | 9 | 0.58 | 2004 |
| Semantic n-gram language modeling with the latent maximum entropy principle | 11 | 0.78 | 2003 |
| Exploiting order-preserving perfect hashing to speedup n-gram language model lookahead | 1 | 0.37 | 2003 |
