Qiang Huo
Orcid: 0000-0003-2464-6482
According to our database1,
Qiang Huo
authored at least 185 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Pattern Recognit., April, 2024
Detect-order-construct: A tree construction based approach for hierarchical document structure analysis.
Pattern Recognit., 2024
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-Like Documents.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
2023
Robust table structure recognition with dynamic queries enhanced detection transformer.
Pattern Recognit., December, 2023
A Security-Enhanced, Charge-Pump-Free, ISO14443-A-/ISO10373-6-Compliant RFID Tag With 16.2-μW Embedded RRAM and Reconfigurable Strong PUF.
IEEE Trans. Very Large Scale Integr. Syst., February, 2023
Pattern Recognit., 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
DQ-DETR: Dynamic Queries Enhanced Detection Transformer for Arbitrary Shape Text Detection.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation.
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
ReLaText: Exploiting visual relationships for arbitrary-shaped scene text detection with graph convolutional networks.
Pattern Recognit., 2021
Investigation on negative capacitance FinEFT beyond 7 nm node from device to circuit.
Microelectron. J., 2021
Investigation of negative DIBL effect for ferroelectric-based FETs to improve MOSFETs and CMOS circuits.
Microelectron. J., 2021
IEEE Access, 2021
ViBERTgrid: A Jointly Trained Multi-modal 2D Document Representation for Key Information Extraction from Documents.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
2020
Improving Knowledge Distillation of CTC-Trained Acoustic Models With Alignment-Consistent Ensemble and Target Delay.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
The Investigation of Negative Capacitance Vertical Nanowire FETs Based on SPICE Model at Device-Circuit Level.
CoRR, 2020
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images.
Pattern Recognit., 2019
Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition.
Pattern Recognit., 2019
An anchor-free region proposal network for Faster R-CNN-based text detection approaches.
Int. J. Document Anal. Recognit., 2019
Flow-guided feature propagation with occlusion aware detail enhancement for hand segmentation in egocentric videos.
Comput. Vis. Image Underst., 2019
Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks.
CoRR, 2019
A Novel General Compact Model Approach for 7nm Technology Node Circuit Optimization from Device Perspective and Beyond.
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the 16th International Conference on Synthesis, 2019
A Modeling Approach for 7nm Technology Node Area-Consuming Circuit Optimization and Beyond.
Proceedings of the 16th International Conference on Synthesis, 2019
Particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
A Teacher-Student Learning Based Born-Again Training Approach to Improving Scene Text Detection Accuracy.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
A Comparative Study of Attention-Based Encoder-Decoder Approaches to Natural Scene Text Recognition.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
2018
Appl. Math. Lett., 2018
The application of non-volatile look-up-table operations based on multilevel-cell of resistance switching random access memory.
Proceedings of the 2018 International Symposium on VLSI Design, 2018
DFF-DEN: Deep Feature Flow with Detail Enhancement Network for Hand Segmentation in Depth Video.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
A CNN-Based Approach to Detecting Text from Images of Whiteboards and Handwritten Notes.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
A Robust Approach to Detecting Text from Images of Whiteboards and Handwritten Notes.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Sequence Discriminative Training for Offline Handwriting Recognition by an Interpolated CTC and Lattice-Free MMI Objective Function.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
A Compact CNN-DBLSTM Based Character Model for Offline Handwriting Recognition with Tucker Decomposition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
A Compact CNN-DBLSTM Based Character Model for Online Handwritten Chinese Text Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
2016
Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
IET Commun., 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Scalable training of deep learning machines by incremental block training with intra-block parallel optimization and blockwise model-update filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
IEEE Wirel. Commun. Lett., 2015
Pattern Recognit., 2015
Training deep bidirectional LSTM acoustic model for LVCSR by a context-sensitive-chunk BPTT approach.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
Building Handwriting Recognizers by Leveraging Skeletons of Both Offline and Online Samples.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
2014
An Unsupervised Adaptation Approach to Leveraging Feedback Loop Data by Using i-Vector for Data Clustering and Selection.
IEEE ACM Trans. Audio Speech Lang. Process., 2014
An Improved VTS Feature Compensation using Mixture Models of Distortion and IVN Training for Noisy Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2014
An irrelevant variability normalization approach to discriminative training of multi-prototype based classifiers and its applications for online handwritten Chinese character recognition.
Pattern Recognit., 2014
Study on downlink spectral efficiency in orthogonal frequency division multiple access systems.
IET Commun., 2014
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR.
Pattern Recognit., 2013
A scalable approach to using DNN-derived features in GMM-HMM based acoustic modeling for LVCSR.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013
An Improved Component Tree Based Approach to User-Intention Guided Text Extraction from Natural Scene Images.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
An Irrelevant Variability Normalization Based Discriminative Training Approach for Online Handwritten Chinese Character Recognition.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Novel multihop transmission schemes using selective network coding and differential modulation for two-way relay networks.
Proceedings of IEEE International Conference on Communications, 2013
Tied-state based discriminative training of context-expanded region-dependent feature transforms for LVCSR.
Proceedings of the IEEE International Conference on Acoustics, 2013
A VTS-based feature compensation approach to noisy speech recognition using mixture models of distortion.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
A Distributed Differential Space-Time Coding Scheme With Analog Network Coding in Two-Way Relay Networks.
IEEE Trans. Signal Process., 2012
IEEE Trans. Commun., 2012
IEEE J. Sel. Areas Commun., 2012
A feature-transform based approach to unsupervised task adaptation and personalization.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012
Synthesized stereo-based stochastic mapping with data selection for robust speech recognition.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012
IVN-Based Joint Training Of GMM And HMMs Using An Improved VTS-Based Feature Compensation For Noisy Speech Recognition.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
A study of discriminative feature extraction for i-vector based acoustic sniffing in IVN acoustic model training.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Designing compact classifiers for rotation-free recognition of large vocabulary online handwritten Chinese characters.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
A distributed differential space-time coding scheme with analog network coding in two-way relay networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012
2011
A Feature Compensation Approach Using High-Order Vector Taylor Series Approximation of an Explicit Distortion Model for Noisy Speech Recognition.
IEEE Trans. Speech Audio Process., 2011
Building compact recognizers of handwritten Chinese characters using precision constrained Gaussian model, minimum classification error training and parameter compression.
Int. J. Document Anal. Recognit., 2011
Proceedings of the 2011 International Conference on Wireless Communications & Signal Processing, 2011
A new i-vector approach and its application to irrelevant variability normalization based acoustic model training.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
An i-vector Based Approach to Training Data Clustering for Improved Speech Recognition.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
An i-vector Based Approach to Acoustic Sniffing for Irrelevant Variability Normalization Based Acoustic Model Training and Speech Recognition.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011
A study of an irrelevant variability normalization based discriminative training approach for LVCSR.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2010
A study of irrelevant variability normalization based training and unsupervised online adaptation for LVCSR.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010
A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
A Study of Discriminative Training for HMM-Based Online Handwritten Chinese/Japanese Character Recognition.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010
Sample-separation-margin based minimum classification error training of pattern classifiers with quadratic discriminant functions.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Modeling inverse covariance matrices by expansion of tied basis matrices for online handwritten Chinese character recognition.
Pattern Recognit., 2009
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
Affine Distortion Compensation for an Isolated Online Handwritten Chinese Character Using Combined Orientation Estimation and HMM-Based Minimax Classification.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Character.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
Robust speech recognition based on structured modeling, irrelevant variability normalization and unsupervised online adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
An HMM Compensation Approach for Dynamic Features Using Unscented Transformation and its Application to Noisy Speech Recognition.
Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008
Evaluation of a Feature Compensation Approach Using High-Order Vector Taylor Series Approximation of an Explicit Distortion Modelon Aurora2, Aurora3, and Aurora4 Tasks.
Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008
A rank-predicted pseudo-greedy approach to efficient text selection from large-scale corpus for maximum coverage of target units.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008
A speech enhancement approach using piecewise linear approximation of an explicit model of environmental distortions.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008
An ellipsoid constrained quadratic programming (ECQP) approach to MCE training of MQDF-based classifiers for handwriting recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
A study of semi-tied covariance modeling for online handwritten Chinese character recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
A study of a new misclassification measure for minimum classification error training of prototype-based pattern classifiers.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008
A feature compensation approach using piecewise linear approximation of an explicit distortion model for noisy speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
A Study of Minimum Classification Error (MCE) Linear Regression for Supervised Adaptation of MCE-Trained Continuous-Density Hidden Markov Models.
IEEE Trans. Speech Audio Process., 2007
An active approach to speaker and task adaptation based on automatic analysis of vocabulary confusability.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007
Irrelevant variability normalization based HMM training using VTS approximation of an explicit model of environmental distortions.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007
Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
A Generalized Feature Transformation Approach for Channel Robust Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2007
A Maximum Likelihood Approach to Unsupervised Online Adaptation of Stochastic Vector Mapping Function for Robust Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
An Environment-Compensated Minimum Classification Error Training Approach Based on Stochastic Vector Mapping.
IEEE Trans. Speech Audio Process., 2006
An HMM Compensation Approach Using Unscented Transformation for Noisy Speech Recognition.
Proceedings of the Chinese Spoken Language Processing, 5th International Symposium, 2006
A maximum likelihood training approach to irrelevant variability compensation based on piecewise linear transformations.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006
A DTW-based dissimilarity measure for left-to-right hidden Markov models and its application to word confusability analysis.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006
A Study of Nonlinear Shape Normalization for Online Handwritten Chinese Character Recognition: Dot Density vs. Line Density Equalization.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Unsupervised Online Adaptation of Segmental Switching Linear Gaussian Hidden Markov Models for Robust Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005
A Study On the Use of 8-Directional Features For Online Handwritten Chinese Character Recognition.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005
An Environment Compensated Maximum Likelihood Training Approach Based on Stochastic Vector Mapping.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Minutiae Matching Based Fingerprint Verification Using Delaunay Triangulation and Aligned-Edge-Guided Triangle Matching.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005
2004
A study of switching state segmentation in segmental switching linear Gaussian hidden Markov models for robust speech recognition.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004
A study of minimum classification error training for segmental switching linear Gaussian hidden Markov models.
Proceedings of the 8th International Conference on Spoken Language Processing, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
A Goal-Oriented Verification-Based Approach for Target Text Line Extraction from a Document Image Captured by a Pen Scanner.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
2003
A switching linear Gaussian hidden Markov model and its application to nonstationary noise compensation for robust speech recognition.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Several HKU approaches for robust speech recognition and their evaluation on Aurora connected digit recognition tasks.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Improving Chinese/English OCR Performance by Using MCE-based Character-Pair Modeling and Negative Training.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003
An Approach to Extracting the Target Text Line from a Document Image Captured by a Pen Scanner.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003
Modelling uncertainty in stochastic vector mapping with minimum classification error training for robust speech recognition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
A comparative study of quickprop and GPD optimization algorithms for MCELR adaptation of CDHMM parameters.
Proceedings of the 2002 International Symposium on Chinese Spoken Language Processing, 2002
A comparative study of several incremental adaptation algorithms for speaker adaptation.
Proceedings of the 2002 International Symposium on Chinese Spoken Language Processing, 2002
An environment compensated minimum classification error training approach and its evaluation on Aurora2 database.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Using time-stretched pulses for accurate splitting of speech utterances played back in noisy reverberant environments.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
A Comparative Study of Several Modeling Approaches for Large Vocabulary Offline Recognition of Handwritten Chinese Characters.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Confidence Guided Progressive Search and Fast Match Techniques for High Performance Chinese/English OCR.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Supervised adaptation of MCE-trained CDHMMS using minimum classification error linear regression.
Proceedings of the IEEE International Conference on Acoustics, 2002
Offline recognition of handwritten Chinese characters using Gabor features, CDHMM modeling and MCE training.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Online adaptive learning of continuous-density hidden Markov models based on multiple-stream prior evolution and posterior pooling.
IEEE Trans. Speech Audio Process., 2001
Speech Commun., 2001
A Discrete Contextual Stochastic Model for the Offline Recognition of Handwritten Chinese Characters.
IEEE Trans. Pattern Anal. Mach. Intell., 2001
High performance Chinese OCR based on Gabor features, discriminative feature extraction and model training.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
IEEE Trans. Speech Audio Process., 2000
On adaptive decision rules and decision parameter adaptation for automatic speech recognition.
Proc. IEEE, 2000
Benchmark Results of Triphone-based Acoustic Modeling on HKU96 and HKU99 Putonghua Corpora.
Proceedings of the 2000 International Symposium on Chinese Spoken Language Processing, 2000
Robust speech recognition based on off-line elicitation of multiple priors and on-line adaptive prior fusion.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000
1999
IEEE Trans. Speech Audio Process., 1999
Improving Viterbi Bayesian predictive classification via sequential bayesian learning in robust speech recognition.
Speech Commun., 1999
On-line adaptive learning of CDHMM parameters based on multiple-stream prior evolution and posterior pooling.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999
Irrelevant variability normalization in learning HMM state tying from data based on phonetic decision-tree.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
On-line adaptive learning of the correlated continuous density hidden Markov models for speech recognition.
IEEE Trans. Speech Audio Process., 1998
Adaptive Learning and Compensation of Hidden Markov Model For Robust Speech Recognition.
Proceedings of the 1998 International Symposium on Chinese Spoken Language Processing, 1998
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998
A study of prior sensitivity for Bayesian predictive classification based robust speech recognition.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
1997
On-line adaptive learning of the continuous density hidden Markov model based on approximate recursive Bayes estimate.
IEEE Trans. Speech Audio Process., 1997
Combined on-line model adaptation and Bayesian predictive classification for robust speech recognition.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
On-line adaptation of the SCHMM parameters based on the segmental quasi-Bayes learning for speech recognition.
IEEE Trans. Speech Audio Process., 1996
A study on the use of bi-directional contextual dependence in Markov random field-based acoustic modelling for speech recognition.
Comput. Speech Lang., 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1995
Bayesian adaptive learning of the parameters of hidden Markov model for speech recognition.
IEEE Trans. Speech Audio Process., 1995
Contextual vector quantization for speech recognition with discrete hidden Markov model.
Pattern Recognit., 1995
On the use of bi-directional contextual dependence in acoustic modeling for speech recognition.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
Discriminative training of HMM based speech recognizer with gradient projection method.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
Contextual vector quantization modeling of hand-printed Chinese character recognition.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
Speech Commun., 1993
Bayesian learning of the parameters of discrete and tied mixture HMMs for speech recognition.
Proceedings of the Third European Conference on Speech Communication and Technology, 1993