Phoneme recognition using visual features on speech spectrograms. - Shigeru Katagiri; Manami Yokota (ECST, 1987)

Acoustic-phonetic labels in a Japanese speech database. - Kazuya Takeda; Yoshinori Sagisaka; Shigeru Katagiri (ECST, 1987)

A new algorithm for representing acoustic feature dynamics. - Shigeru Katagiri; Erik McDermott; Manami Yokota (ICASSP, 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 (ICASSP, 1989)

Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2. - Erik McDermott; Shigeru Katagiri (ICASSP, 1989)

A hybrid speech recognition system using HMMs with an LVQ-trained codebook. - Hitoshi Iwamida; Shigeru Katagiri; Erik McDermott; Yoh'ichi Tohkura (ICASSP, 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 (ICSLP, 1990)

A large-scale Japanese speech database. - Yoshinori Sagisaka; Kazuya Takeda; M. Abel; Shigeru Katagiri; T. Umeda; Hisao Kuwabara (ICSLP, 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)

Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm. - Hitoshi Iwamida; Shigeru Katagiri; Erik McDermott (ICASSP, 1991)

A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification. - Padma Ramesh; Shigeru Katagiri; Chin-Hui Lee (ICASSP, 1991)

LVQ-based shift-tolerant phoneme recognition. - Erik McDermott; Shigeru Katagiri (IEEE Trans. Signal Process., 1991)

Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition. - Takashi Komori; Shigeru Katagiri (ICASSP, 1992)

Prototype-based discriminative training for various speech units. - Erik McDermott; Shigeru Katagiri (ICASSP, 1992)

Discriminative learning for minimum error classification [pattern recognition]. - Biing-Hwang Juang; Shigeru Katagiri (IEEE Trans. Signal Process., 1992)

Feature extraction based on minimum classification error/generalized probabilistic descent method. - Alain Biem; Shigeru Katagiri (ICASSP (2), 1993)

An optimal learning method for minimizing spotting errors. - Takashi Komori; Shigeru Katagiri (ICASSP (2), 1993)

Prototype-based MCE/GPD training for word spotting and connected word recognition. - Erik McDermott; Shigeru Katagiri (ICASSP (2), 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)

Filter bank design based on discriminative feature extraction. - Alain Biem; Shigeru Katagiri (ICASSP (1), 1994)

A novel fuzzy partition model architecture for classifying dynamic patterns. - Yoshinaga Koto; Shigeru Katagiri (ICSLP, 1994)

Prototype-based minimum error training for speech recognition. - Erik McDermott; Shigeru Katagiri (Appl. Intell., 1994)

Prototype-based minimum classification error/generalized probabilistic descent training for various speech units. - Erik McDermott; Shigeru Katagiri (Comput. Speech Lang., 1994)

Discriminative metric design for pattern recognition. - Hideyuki Watanabe; Tsuyoshi Yamaguchi; Shigeru Katagiri (ICASSP, 1995)

A discriminative filter bank model for speech recognition. - Alain Biem; Erik McDermott; Shigeru Katagiri (EUROSPEECH, 1995)

A Minimum Error Approach to Spotting-Based Pattern Recognition. - Takashi Komori; Shigeru Katagiri (IEICE Trans. Inf. Syst., 1995)

A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent. - Erik McDermott; Eric A. Woudenberg; Shigeru Katagiri (ICASSP, 1996)

Cepstrum-based filter-bank design using discriminative feature extraction training at various levels. - Alain Biem; Shigeru Katagiri (ICASSP, 1997)

HMM speech recognizer based on discriminative metric design. - Hideyuki Watanabe; Shigeru Katagiri (ICASSP, 1997)

Efficient normalization based upon GPD [generalized probabilistic descent]. - Eric A. Woudenberg; Alain Biem; Erik McDermott; Shigeru Katagiri (ICASSP, 1997)

String-level MCE for continuous phoneme recognition. - Erik McDermott; Shigeru Katagiri (EUROSPEECH, 1997)

Pattern recognition using discriminative feature extraction. - Alain Biem; Shigeru Katagiri; Biing-Hwang Juang (IEEE Trans. Signal Process., 1997)

Guest Editors' Introduction: Neural Networks For Signal Processing. - Anthony G. Constantinides; Simon Haykin 001; Yu Hen Hu; Jenq-Neng Hwang; Shigeru Katagiri; Sun-Yuan Kung; Tomaso A. Poggio (IEEE Trans. Signal Process., 1997)

Discriminative metric design for robust pattern recognition. - Hideyuki Watanabe; Tsuyoshi Yamaguchi; Shigeru Katagiri (IEEE Trans. Signal Process., 1997)

Minimum detection error training for acoustic signal monitoring. - Hideyuki Watanabe; Yuji Matsumoto 001; Shigeru Katagiri (ICASSP, 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)

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 (EUROSPEECH, 1999)

A new approach to acoustic signal monitoring based on the generalized probabilistic descent method. - Hideyuki Watanabe; Yuji Matsumoto 001; Satoru Tanaka; Shigeru Katagiri (IEEE Trans. Signal Process., 1999)

Law discovery from financial data using neural networks. - Kazumi Saito; Naonori Ueda; Shigeru Katagiri; Yutaka Fukai; Hiroshi Fujimaru; Masayuki Fujinawa (CIFEr, 2000)

Discriminative training for large vocabulary telephone-based name recognition. - Erik McDermott; Alain Biem; Seiichi Tenpaku; Shigeru Katagiri (ICASSP, 2000)

Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. - Daniel Willett; Erik McDermott; Yasuhiro Minami; Shigeru Katagiri (INTERSPEECH, 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)

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 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 (ICASSP, 2002)

Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation. - Daniel Willett; Shigeru Katagiri (ICASSP, 2002)

Classification error from the theoretical Bayes classification risk. - Erik McDermott; Shigeru Katagiri (INTERSPEECH, 2002)

Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk. - Erik McDermott; Shigeru Katagiri (NNSP, 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)

Deriving disambiguous queries in a spoken interactive ODQA system. - Chiori Hori; Takaaki Hori; Hideki Isozaki; Eisaku Maeda; Shigeru Katagiri; Sadaoki Furui (ICASSP (1), 2003)

A new formalization of minimum classification error using a Parzen estimate of classification chance. - Erik McDermott; Shigeru Katagiri (ICASSP (2), 2003)

Recognition method with parametric trajectory generated from mixture distribution HMMs. - Yasuhiro Minami; Erik McDermott; Atsushi Nakamura; Shigeru Katagiri (ICASSP (1), 2003)

Pervasive unsupervised adaptation for lecture speech transcription. - Daniel Willett; Thomas Niesler; Erik McDermott; Yasuhiro Minami; Shigeru Katagiri (ICASSP (1), 2003)

Blind inversion of multidimensional functions for speech enhancement. - John Hogden; Patrick Valdez; Shigeru Katagiri; Erik McDermott (INTERSPEECH, 2003)

Bayesian modelling of the speech spectrum using mixture of Gaussians. - Parham Zolfaghari; Shinji Watanabe 001; Atsushi Nakamura; Shigeru Katagiri (ICASSP (1), 2004)

A theoretical analysis of speech recognition based on feature trajectory models. - Yasuhiro Minami; Erik McDermott; Atsushi Nakamura; Shigeru Katagiri (INTERSPEECH, 2004)

A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. - Erik McDermott; Shigeru Katagiri (Comput. Speech Lang., 2004)

Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers. - Erik McDermott; Shigeru Katagiri (ICASSP (1), 2005)

Discriminative training via minimization of risk estimates based on Parzen smoothing. - Erik McDermott; Shigeru Katagiri (Appl. Intell., 2006)

Advanced computational models and learning theories for spoken language processing. - Atsushi Nakamura; Shinji Watanabe 001; Takaaki Hori; Erik McDermott; Shigeru Katagiri (IEEE Comput. Intell. Mag., 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)

Inverting mappings from smooth paths through Rn to paths through Rm: A technique applied to recovering articulation from acoustics. - John Hogden; Philip Rubin; Erik McDermott; Shigeru Katagiri; Louis Goldstein (Speech Commun., 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)

A unified view for discriminative objective functions based on negative exponential of difference measure between strings. - Atsushi Nakamura; Erik McDermott; Shinji Watanabe 001; Shigeru Katagiri (ICASSP, 2009)

Analysis of Subsequence Time-Series Clustering Based on Moving Average. - Miho Ohsaki; Masakazu Nakase; Shigeru Katagiri (ICDM, 2009)

Minimum Error Classification with geometric margin control. - Hideyuki Watanabe; Shigeru Katagiri; Kouta Yamada; Erik McDermott; Atsushi Nakamura; Shinji Watanabe 001; Miho Ohsaki (ICASSP, 2010)

Preface. - Tieniu Tan; Shigeru Katagiri; Jianhua Tao 001; Atsushi Nakamura; Jan Larsen (MLSP, 2011)

Minimum classification error training with geometric margin enhancement for robust pattern recognition. - Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 2011)

Minimum classification error training with automatic setting of loss smoothness. - Hideyuki Watanabe; Jun'ichi Tokuno; Tsukasa Ohashi; Shigeru Katagiri; Miho Ohsaki (MLSP, 2011)

Minimum classification error vs. maximum margin: How should we penalize unseen samples? - Shigeru Katagiri; Hideyuki Watanabe (CIP, 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 (ICASSP, 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 (SCIS&ISIS, 2012)

Speaker Adaptive Training using Deep Neural Networks. - Tsubasa Ochiai; Shigeki Matsuda; Xugang Lu; Chiori Hori; Shigeru Katagiri (ICASSP, 2014)

Guest Editorial: Machine Learning for Signal Processing. - Shigeru Katagiri; Atsushi Nakamura; Tülay Adali; Jianhua Tao 001; Jan Larsen; Tieniu Tan (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)

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)

Formulation of the kernel logistic regression based on the confusion matrix. - Miho Ohsaki; Kenji Matsuda; Peng Wang; Shigeru Katagiri; Hideyuki Watanabe (CEC, 2015)

Speaker adaptive training for deep neural networks embedding linear transformation networks. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Xugang Lu; Chiori Hori; Shigeru Katagiri (ICASSP, 2015)

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 (ICASSP, 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)

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 (ICASSP, 2017)

Automatic node selection for Deep Neural Networks using Group Lasso regularization. - Tsubasa Ochiai; Shigeki Matsuda; Hideyuki Watanabe; Shigeru Katagiri (ICASSP, 2017)

Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR. - Tsubasa Ochiai; Shinji Watanabe 001; Shigeru Katagiri (MLSP, 2017)

Compact kernel classifiers trained with minimum classification error criterion. - Ryoma Tani; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 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)

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 (BIBM, 2018)

Speaker Adaptation for Multichannel End-to-End Speech Recognition. - Tsubasa Ochiai; Shinji Watanabe 001; Shigeru Katagiri; Takaaki Hori; John R. Hershey (ICASSP, 2018)

Optimal Classifier Model Status Selection using Bayes boundary uncertainty. - David Ha; Emilie Delattre; Yuya Tomotoshi; Masahiro Senda; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (MLSP, 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 (SCIS&ISIS, 2018)

Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. - David Ha; Hideyuki Watanabe; Yuya Tomotoshi; Emilie Delattre; Shigeru Katagiri (SPML, 2018)

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 (IUKM, 2019)

Maximum Bayes Boundary-Ness Training For Pattern Classification. - Masahiro Senda; David Ha; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (SPML, 2019)

Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. - Naoto Umezaki; Takumi Okubo; Hideyuki Watanabe; Shigeru Katagiri; Miho Ohsaki (SPML, 2019)

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)

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 (CYBCONF, 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)

An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. - David Ha; Shigeru Katagiri; Hideyuki Watanabe; Miho Ohsaki (J. Signal Process. Syst., 2021)

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 (INTERSPEECH, 2022)

An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs. - Ginji Hayashi; Shigeru Katagiri; Xugang Lu; Miho Ohsaki (SPML, 2022)

A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method. - Koki Kishishita; Shigeru Katagiri; Miho Ohsaki (SPML, 2022)

How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts? - Kazuma Iwamoto; Tsubasa Ochiai; Marc Delcroix; Rintaro Ikeshita; Hiroshi Sato; Shoko Araki; Shigeru Katagiri (ICASSP, 2024)

Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance. - Tsubasa Ochiai; Kazuma Iwamoto; Marc Delcroix; Rintaro Ikeshita; Hiroshi Sato; Shoko Araki; Shigeru Katagiri (IEEE ACM Trans. Audio Speech Lang. Process., 2024)