Shigeru Katagiri

According to our database, Shigeru Katagiri authored at least 99 papers between 1987 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method.

Koki Kishishita, Shigeru Katagiri, Miho Ohsaki

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.

Ginji Hayashi, Shigeru Katagiri, Xugang Lu, Miho Ohsaki

Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, 2022

How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR.

Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri

Proceedings of the Interspeech 2022, 2022

2021

An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation.

David Ha, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki

J. Signal Process. Syst., 2021

NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso.

Miho Ohsaki, Naoya Kishimoto, Hayato Sasaki, Ryoji Ikeura, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then

IEEE Access, 2021

Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables.

Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then

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.

David Ha, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

J. Signal Process. Syst., 2020

2019

Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition.

Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019

Maximum Bayes Boundary-Ness Training For Pattern Classification.

Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

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.

Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki

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.

David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri

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.

Miho Ohsaki, Hayato Sasaki, Hiroharu Kawanaka, Shigeru Katagiri

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

Optimal Classifier Model Status Selection using Bayes boundary uncertainty.

David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Speaker Adaptation for Multichannel End-to-End Speech Recognition.

Tsubasa Ochiai, Shinji Watanabe, Shigeru Katagiri, Takaaki Hori, John R. Hershey

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.

Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Patrick Hang Hui Then

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification.

Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca L. Ralescu

IEEE Trans. Knowl. Data Eng., 2017

Compact kernel classifiers trained with minimum classification error criterion.

Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

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.

Tsubasa Ochiai, Shinji Watanabe, Shigeru Katagiri

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Automatic node selection for Deep Neural Networks using Group Lasso regularization.

Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri

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.

Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Taichi Asami, Shigeru Katagiri, Tomohiro Nakatani

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.

Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Hisashi Kawai, Shigeru Katagiri

IEICE Trans. Inf. Syst., 2016

Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer.

Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Hisashi Kawai, Shigeru Katagiri

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Speaker adaptive training for deep neural networks embedding linear transformation networks.

Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Shigeru Katagiri

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Formulation of the kernel logistic regression based on the confusion matrix.

Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination.

Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka

J. Signal Process. Syst., 2014

Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training.

Hideyuki Watanabe, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka

J. Signal Process. Syst., 2014

Guest Editorial: Machine Learning for Signal Processing.

Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen, Tieniu Tan

J. Signal Process. Syst., 2014

Speaker Adaptive Training using Deep Neural Networks.

Tsubasa Ochiai, Shigeki Matsuda, Xugang Lu, Chiori Hori, Shigeru Katagiri

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.

Kenji Matsuda, Miho Ohsaki, Shigeru Katagiri, Hideto Yokoi, Katsuhiko Takabayashi

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.

Tsukasa Ohashi, Hideyuki Watanabe, Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Minimum classification error vs. maximum margin: How should we penalize unseen samples?

Shigeru Katagiri, Hideyuki Watanabe

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011

Minimum classification error training with automatic setting of loss smoothness.

Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki

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.

Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Preface.

Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

Minimum Error Classification with geometric margin control.

Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Analysis of Subsequence Time-Series Clustering Based on Moving Average.

Miho Ohsaki, Masakazu Nakase, Shigeru Katagiri

Proceedings of the ICDM 2009, 2009

A unified view for discriminative objective functions based on negative exponential of difference measure between strings.

Atsushi Nakamura, Erik McDermott, Shinji Watanabe, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error.

Erik McDermott, Timothy J. Hazen, Jonathan Le Roux, Atsushi Nakamura, Shigeru Katagiri

IEEE Trans. Speech Audio Process., 2007

Inverting mappings from smooth paths through Rⁿ to paths through R^m: A technique applied to recovering articulation from acoustics.

John Hogden, Philip Rubin, Erik McDermott, Shigeru Katagiri, Louis Goldstein

Speech Commun., 2007

2006

Dynamic Assignment of Gaussian Components in Modelling Speech Spectra.

Parham Zolfaghari, Hiroko Kato, Yasuhiro Minami, Atsushi Nakamura, Shigeru Katagiri, Roy D. Patterson

J. VLSI Signal Process., 2006

Advanced computational models and learning theories for spoken language processing.

Atsushi Nakamura, Shinji Watanabe, Takaaki Hori, Erik McDermott, Shigeru Katagiri

IEEE Comput. Intell. Mag., 2006

Discriminative training via minimization of risk estimates based on Parzen smoothing.

Erik McDermott, Shigeru Katagiri

Appl. Intell., 2006

2005

Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers.

Erik McDermott, Shigeru Katagiri

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.

Erik McDermott, Shigeru Katagiri

Comput. Speech Lang., 2004

A theoretical analysis of speech recognition based on feature trajectory models.

Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri

Proceedings of the INTERSPEECH 2004, 2004

Bayesian modelling of the speech spectrum using mixture of Gaussians.

Parham Zolfaghari, Shinji Watanabe, Atsushi Nakamura, Shigeru Katagiri

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Blind inversion of multidimensional functions for speech enhancement.

John Hogden, Patrick Valdez, Shigeru Katagiri, Erik McDermott

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Pervasive unsupervised adaptation for lecture speech transcription.

Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Recognition method with parametric trajectory generated from mixture distribution HMMs.

Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A new formalization of minimum classification error using a Parzen estimate of classification chance.

Erik McDermott, Shigeru Katagiri

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Deriving disambiguous queries in a spoken interactive ODQA system.

Chiori Hori, Takaaki Hori, Hideki Isozaki, Eisaku Maeda, Shigeru Katagiri, Sadaoki Furui

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Guest editorial special issue on intelligent multimedia processing.

Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe

IEEE Trans. Neural Networks, 2002

Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk.

Erik McDermott, Shigeru Katagiri

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Classification error from the theoretical Bayes classification risk.

Erik McDermott, Shigeru Katagiri

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.

Daniel Willett, Shigeru Katagiri

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.

Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

An application of discriminative feature extraction to filter-bank-based speech recognition.

Alain Biem, Shigeru Katagiri, Erik McDermott, Biing-Hwang Juang

IEEE Trans. Speech Audio Process., 2001

A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction.

Chiyomi Miyajima, Hideyuki Watanabe, Keiichi Tokuda, Tadashi Kitamura, Shigeru Katagiri

Speech Commun., 2001

Time and memory efficient viterbi decoding for LVCSR using a precompiled search network.

Daniel Willett, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000

Discriminative training for large vocabulary telephone-based name recognition.

Erik McDermott, Alain Biem, Seiichi Tenpaku, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 2000

Law discovery from financial data using neural networks.

Kazumi Saito, Naonori Ueda, Shigeru Katagiri, Yutaka Fukai, Hiroshi Fujimaru, Masayuki Fujinawa

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.

Hideyuki Watanabe, Yuji Matsumoto, Satoru Tanaka, Shigeru Katagiri

IEEE Trans. Signal Process., 1999

Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function.

Chiyomi Miyajima, Hideyuki Watanabe, Tadashi Kitamura, Shigeru Katagiri

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.

Shigeru Katagiri, Biing-Hwang Juang, Chin-Hui Lee

Proc. IEEE, 1998

Minimum detection error training for acoustic signal monitoring.

Hideyuki Watanabe, Yuji Matsumoto, Shigeru Katagiri

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

Discriminative metric design for robust pattern recognition.

Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri

IEEE Trans. Signal Process., 1997

Guest Editors' Introduction: Neural Networks For Signal Processing.

Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso A. Poggio

IEEE Trans. Signal Process., 1997

Pattern recognition using discriminative feature extraction.

Alain Biem, Shigeru Katagiri, Biing-Hwang Juang

IEEE Trans. Signal Process., 1997

String-level MCE for continuous phoneme recognition.

Erik McDermott, Shigeru Katagiri

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Efficient normalization based upon GPD [generalized probabilistic descent].

Eric A. Woudenberg, Alain Biem, Erik McDermott, Shigeru Katagiri

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

HMM speech recognizer based on discriminative metric design.

Hideyuki Watanabe, Shigeru Katagiri

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Cepstrum-based filter-bank design using discriminative feature extraction training at various levels.

Alain Biem, Shigeru Katagiri

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.

Erik McDermott, Eric A. Woudenberg, Shigeru Katagiri

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

A Minimum Error Approach to Spotting-Based Pattern Recognition.

Takashi Komori, Shigeru Katagiri

IEICE Trans. Inf. Syst., 1995

A discriminative filter bank model for speech recognition.

Alain Biem, Erik McDermott, Shigeru Katagiri

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Discriminative metric design for pattern recognition.

Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri

Proceedings of the 1995 International Conference on Acoustics, 1995

1994

Prototype-based minimum classification error/generalized probabilistic descent training for various speech units.

Erik McDermott, Shigeru Katagiri

Comput. Speech Lang., 1994

Prototype-based minimum error training for speech recognition.

Erik McDermott, Shigeru Katagiri

Appl. Intell., 1994

A novel fuzzy partition model architecture for classifying dynamic patterns.

Yoshinaga Koto, Shigeru Katagiri

Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

Filter bank design based on discriminative feature extraction.

Alain Biem, Shigeru Katagiri

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.

Shigeru Katagiri, Chin-Hui Lee

IEEE Trans. Speech Audio Process., 1993

Prototype-based MCE/GPD training for word spotting and connected word recognition.

Erik McDermott, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 1993

An optimal learning method for minimizing spotting errors.

Takashi Komori, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 1993

Feature extraction based on minimum classification error/generalized probabilistic descent method.

Alain Biem, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

Discriminative learning for minimum error classification [pattern recognition].

Biing-Hwang Juang, Shigeru Katagiri

IEEE Trans. Signal Process., 1992

Prototype-based discriminative training for various speech units.

Erik McDermott, Shigeru Katagiri

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition.

Takashi Komori, Shigeru Katagiri

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991

LVQ-based shift-tolerant phoneme recognition.

Erik McDermott, Shigeru Katagiri

IEEE Trans. Signal Process., 1991

A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification.

Padma Ramesh, Shigeru Katagiri, Chin-Hui Lee

Proceedings of the 1991 International Conference on Acoustics, 1991

Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm.

Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

ATR Japanese speech database as a tool of speech recognition and synthesis.

Akira Kurematsu, Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri, Hisao Kuwabara, Kiyohiro Shikano

Speech Commun., 1990

A large-scale Japanese speech database.

Yoshinori Sagisaka, Kazuya Takeda, M. Abel, Shigeru Katagiri, T. Umeda, Hisao Kuwabara

Proceedings of the First International Conference on Spoken Language Processing, 1990

On the robustness of HMM and ANN speech recognition algorithms.

Yasuhiro Minami, Toshiyuki Hanazawa, Hitoshi Iwamida, Erik McDermott, Kiyohiro Shikano, Shigeru Katagiri, Masaona Kagawa

Proceedings of the First International Conference on Spoken Language Processing, 1990

A hybrid speech recognition system using HMMs with an LVQ-trained codebook.

Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott, Yoh'ichi Tohkura

Proceedings of the 1990 International Conference on Acoustics, 1990

1989

Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2.

Erik McDermott, Shigeru Katagiri

Proceedings of the IEEE International Conference on Acoustics, 1989

Construction of a large-scale Japanese speech database and its management system.

Hisao Kuwabara, Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri, S. Morikawa, T. Watanabe

Proceedings of the IEEE International Conference on Acoustics, 1989

A new algorithm for representing acoustic feature dynamics.

Shigeru Katagiri, Erik McDermott, Manami Yokota

Proceedings of the IEEE International Conference on Acoustics, 1989

1987

Acoustic-phonetic labels in a Japanese speech database.

Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri

Proceedings of the European Conference on Speech Technology, 1987

Phoneme recognition using visual features on speech spectrograms.

Shigeru Katagiri, Manami Yokota

Proceedings of the European Conference on Speech Technology, 1987