Shigeru Katagiri
Orcid: 0000-0003-4738-5385
According to our database1,
Shigeru Katagiri
authored at least 101 papers
between 1987 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2001, "For contributions to discriminative learning theory and its applications to speech recognition.".
Timeline
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On csauthors.net:
Bibliography
2024
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2022
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022
An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs.
Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2021
J. Signal Process. Syst., 2021
NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso.
IEEE Access, 2021
Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021
2020
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection.
J. Signal Process. Syst., 2020
2019
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition.
Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019
Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019
2018
Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018
Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification.
IEEE Trans. Knowl. Data Eng., 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Cumulative moving averaged bottleneck speaker vectors for online speaker adaptation of CNN-based acoustic models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers.
IEICE Trans. Inf. Syst., 2016
Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Speaker adaptive training for deep neural networks embedding linear transformation networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination.
J. Signal Process. Syst., 2014
Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training.
J. Signal Process. Syst., 2014
J. Signal Process. Syst., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2012
Application of kernel logistic regression to the prediction of liver fibrosis stages in chronic hepatitis C.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Minimum classification error vs. maximum margin: How should we penalize unseen samples?
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012
2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Minimum classification error training with geometric margin enhancement for robust pattern recognition.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the ICDM 2009, 2009
A unified view for discriminative objective functions based on negative exponential of difference measure between strings.
Proceedings of the IEEE International Conference on Acoustics, 2009
2007
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error.
IEEE Trans. Speech Audio Process., 2007
Inverting mappings from smooth paths through R<sup>n</sup> to paths through R<sup>m</sup>: A technique applied to recovering articulation from acoustics.
Speech Commun., 2007
2006
J. VLSI Signal Process., 2006
IEEE Comput. Intell. Mag., 2006
Discriminative training via minimization of risk estimates based on Parzen smoothing.
Appl. Intell., 2006
2005
Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation.
Comput. Speech Lang., 2004
Proceedings of the 8th International Conference on Spoken Language Processing, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Recognition method with parametric trajectory generated from mixture distribution HMMs.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
A new formalization of minimum classification error using a Parzen estimate of classification chance.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
IEEE Trans. Neural Networks, 2002
Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation.
Proceedings of the IEEE International Conference on Acoustics, 2002
A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
An application of discriminative feature extraction to filter-bank-based speech recognition.
IEEE Trans. Speech Audio Process., 2001
A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction.
Speech Commun., 2001
Time and memory efficient viterbi decoding for LVCSR using a precompiled search network.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000
1999
A new approach to acoustic signal monitoring based on the generalized probabilistic descent method.
IEEE Trans. Signal Process., 1999
Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999
1998
Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method.
Proc. IEEE, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
1997
IEEE Trans. Signal Process., 1997
IEEE Trans. Signal Process., 1997
IEEE Trans. Signal Process., 1997
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
Cepstrum-based filter-bank design using discriminative feature extraction training at various levels.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1995
IEICE Trans. Inf. Syst., 1995
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units.
Comput. Speech Lang., 1994
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
A new hybrid algorithm for speech recognition based on HMM segmentation and learning vector quantization.
IEEE Trans. Speech Audio Process., 1993
Proceedings of the IEEE International Conference on Acoustics, 1993
Proceedings of the IEEE International Conference on Acoustics, 1993
Feature extraction based on minimum classification error/generalized probabilistic descent method.
Proceedings of the IEEE International Conference on Acoustics, 1993
1992
IEEE Trans. Signal Process., 1992
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification.
Proceedings of the 1991 International Conference on Acoustics, 1991
Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm.
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
Speech Commun., 1990
Proceedings of the First International Conference on Spoken Language Processing, 1990
Proceedings of the First International Conference on Spoken Language Processing, 1990
Proceedings of the 1990 International Conference on Acoustics, 1990
1989
Proceedings of the IEEE International Conference on Acoustics, 1989
Proceedings of the IEEE International Conference on Acoustics, 1989
Proceedings of the IEEE International Conference on Acoustics, 1989
1987
Proceedings of the European Conference on Speech Technology, 1987
Proceedings of the European Conference on Speech Technology, 1987