Shigeru Katagiri

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 27

Top Venues

ICASSP

SPML

J. Signal Process. Syst.

CoRR

Publications

Tsubasa Ochiai, Kazuma Iwamoto, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance. CoRR (2024)
Tsubasa Ochiai, Kazuma Iwamoto, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts? ICASSP (2024)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR. INTERSPEECH (2022)
Koki Kishishita, Shigeru Katagiri, Miho Ohsaki
A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method. SPML (2022)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR. CoRR (2022)
Ginji Hayashi, Shigeru Katagiri, Xugang Lu, Miho Ohsaki
An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs. SPML (2022)
Miho Ohsaki, Naoya Kishimoto, Hayato Sasaki, Ryoji Ikeura, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then
NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso. IEEE Access 9 (2021)
Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Kei Ohnishi, Yakub Sebastian, Patrick H. H. Then
Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables. CYBCONF (2021)
David Ha, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki
An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. J. Signal Process. Syst. 93 (9) (2021)
David Ha, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection. J. Signal Process. Syst. 92 (2) (2020)
Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Maximum Bayes Boundary-Ness Training For Pattern Classification. SPML (2019)
Yuya Tomotoshi, David Ha, Emilie Delattre, Hideyuki Watanabe, Xugang Lu, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers. IUKM (2019)
Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. SPML (2019)
Tsubasa Ochiai, Shinji Watanabe, Shigeru Katagiri, Takaaki Hori, John R. Hershey
Speaker Adaptation for Multichannel End-to-End Speech Recognition. ICASSP (2018)
David Ha, Emilie Delattre, Yuya Tomotoshi, Masahiro Senda, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Optimal Classifier Model Status Selection using Bayes boundary uncertainty. MLSP (2018)
Miho Ohsaki, Hayato Sasaki, Naoya Kishimoto, Shigeru Katagiri, Patrick Hang Hui Then
Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso. BIBM (2018)
David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri
Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. SPML (2018)
Miho Ohsaki, Hayato Sasaki, Hiroharu Kawanaka, Shigeru Katagiri
Body Part Diagram Recognition in Medical Records: Application of the Histograms of Oriented Gradients and the Mahalanobis-Distance-Based Classifier. SCIS&ISIS (2018)
Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Taichi Asami, Shigeru Katagiri, Tomohiro Nakatani
Cumulative moving averaged bottleneck speaker vectors for online speaker adaptation of CNN-based acoustic models. ICASSP (2017)
Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri
Automatic node selection for Deep Neural Networks using Group Lasso regularization. ICASSP (2017)
Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Compact kernel classifiers trained with minimum classification error criterion. MLSP (2017)
Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca Ralescu
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 29 (9) (2017)
Tsubasa Ochiai, Shinji Watanabe, Shigeru Katagiri
Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR. MLSP (2017)
Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri
Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization. CoRR (2016)
Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Hisashi Kawai, Shigeru Katagiri
Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer. ICASSP (2016)
Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Hisashi Kawai, Shigeru Katagiri
Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers. IEICE Trans. Inf. Syst. (10) (2016)
Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe
Formulation of the kernel logistic regression based on the confusion matrix. CEC (2015)
Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Xugang Lu, Chiori Hori, Shigeru Katagiri
Speaker adaptive training for deep neural networks embedding linear transformation networks. ICASSP (2015)
Tsubasa Ochiai, Shigeki Matsuda, Xugang Lu, Chiori Hori, Shigeru Katagiri
Speaker Adaptive Training using Deep Neural Networks. ICASSP (2014)
Shigeru Katagiri, Atsushi Nakamura, Tülay Adali, Jianhua Tao, Jan Larsen, Tieniu Tan
Guest Editorial: Machine Learning for Signal Processing. J. Signal Process. Syst. 74 (3) (2014)
Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination. J. Signal Process. Syst. 74 (3) (2014)
Hideyuki Watanabe, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Robust and Efficient Pattern Classification using Large Geometric Margin Minimum Classification Error Training. J. Signal Process. Syst. 74 (3) (2014)
Tsukasa Ohashi, Hideyuki Watanabe, Jun'ichi Tokuno, Shigeru Katagiri, Miho Ohsaki, Shigeki Matsuda, Hideki Kashioka
Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training. ICASSP (2012)
Shigeru Katagiri, Hideyuki Watanabe
Minimum classification error vs. maximum margin: How should we penalize unseen samples? CIP (2012)
Kenji Matsuda, Miho Ohsaki, Shigeru Katagiri, Hideto Yokoi, Katsuhiko Takabayashi
Application of kernel logistic regression to the prediction of liver fibrosis stages in chronic hepatitis C. SCIS&ISIS (2012)
Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki
Minimum classification error training with automatic setting of loss smoothness. MLSP (2011)
Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen
Preface. MLSP (2011)
Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki
Minimum classification error training with geometric margin enhancement for robust pattern recognition. MLSP (2011)
Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki
Minimum Error Classification with geometric margin control. ICASSP (2010)
Miho Ohsaki, Masakazu Nakase, Shigeru Katagiri
Analysis of Subsequence Time-Series Clustering Based on Moving Average. ICDM (2009)
Atsushi Nakamura, Erik McDermott, Shinji Watanabe, Shigeru Katagiri
A unified view for discriminative objective functions based on negative exponential of difference measure between strings. ICASSP (2009)
John Hogden, Philip Rubin, Erik McDermott, Shigeru Katagiri, Louis Goldstein
: A technique applied to recovering articulation from acoustics. Speech Commun. 49 (5) (2007)
Erik McDermott, Timothy J. Hazen, Jonathan Le Roux, Atsushi Nakamura, Shigeru Katagiri
Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error. IEEE Trans. Speech Audio Process. 15 (1) (2007)
Atsushi Nakamura, Shinji Watanabe, Takaaki Hori, Erik McDermott, Shigeru Katagiri
Advanced computational models and learning theories for spoken language processing. IEEE Comput. Intell. Mag. 1 (2) (2006)
Parham Zolfaghari, Hiroko Kato, Yasuhiro Minami, Atsushi Nakamura, Shigeru Katagiri, Roy D. Patterson
Dynamic Assignment of Gaussian Components in Modelling Speech Spectra. J. VLSI Signal Process. 45 (1-2) (2006)
Erik McDermott, Shigeru Katagiri
Discriminative training via minimization of risk estimates based on Parzen smoothing. Appl. Intell. 25 (1) (2006)
Erik McDermott, Shigeru Katagiri
Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers. ICASSP (1) (2005)
Parham Zolfaghari, Shinji Watanabe, Atsushi Nakamura, Shigeru Katagiri
Bayesian modelling of the speech spectrum using mixture of Gaussians. ICASSP (1) (2004)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
A theoretical analysis of speech recognition based on feature trajectory models. INTERSPEECH (2004)
Erik McDermott, Shigeru Katagiri
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. Comput. Speech Lang. 18 (2) (2004)
Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri
Pervasive unsupervised adaptation for lecture speech transcription. ICASSP (1) (2003)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
Recognition method with parametric trajectory generated from mixture distribution HMMs. ICASSP (1) (2003)
John Hogden, Patrick Valdez, Shigeru Katagiri, Erik McDermott
Blind inversion of multidimensional functions for speech enhancement. INTERSPEECH (2003)
Chiori Hori, Takaaki Hori, Hideki Isozaki, Eisaku Maeda, Shigeru Katagiri, Sadaoki Furui
Deriving disambiguous queries in a spoken interactive ODQA system. ICASSP (1) (2003)
Erik McDermott, Shigeru Katagiri
A new formalization of minimum classification error using a Parzen estimate of classification chance. ICASSP (2) (2003)
Ling Guan, Tülay Adali, Shigeru Katagiri, Jan Larsen, José C. Príncipe
Guest editorial special issue on intelligent multimedia processing. IEEE Trans. Neural Networks 13 (4) (2002)
Daniel Willett, Shigeru Katagiri
Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation. ICASSP (2002)
Erik McDermott, Shigeru Katagiri
Classification error from the theoretical Bayes classification risk. INTERSPEECH (2002)
Erik McDermott, Shigeru Katagiri
Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk. NNSP (2002)
Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri
A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series. ICASSP (2002)
Chiyomi Miyajima, Hideyuki Watanabe, Keiichi Tokuda, Tadashi Kitamura, Shigeru Katagiri
A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction. Speech Commun. 35 (3-4) (2001)
Alain Biem, Shigeru Katagiri, Erik McDermott, Biing-Hwang Juang
An application of discriminative feature extraction to filter-bank-based speech recognition. IEEE Trans. Speech Audio Process. 9 (2) (2001)
Daniel Willett, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri
Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. INTERSPEECH (2001)
Erik McDermott, Alain Biem, Seiichi Tenpaku, Shigeru Katagiri
Discriminative training for large vocabulary telephone-based name recognition. ICASSP (2000)
Kazumi Saito, Naonori Ueda, Shigeru Katagiri, Yutaka Fukai, Hiroshi Fujimaru, Masayuki Fujinawa
Law discovery from financial data using neural networks. CIFEr (2000)
Chiyomi Miyajima, Hideyuki Watanabe, Tadashi Kitamura, Shigeru Katagiri
Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function. EUROSPEECH (1999)
Hideyuki Watanabe, Yuji Matsumoto, Satoru Tanaka, Shigeru Katagiri
A new approach to acoustic signal monitoring based on the generalized probabilistic descent method. IEEE Trans. Signal Process. 47 (9) (1999)
Hideyuki Watanabe, Yuji Matsumoto, Shigeru Katagiri
Minimum detection error training for acoustic signal monitoring. ICASSP (1998)
Shigeru Katagiri, Biing-Hwang Juang, Chin-Hui Lee
Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method. Proc. IEEE 86 (11) (1998)
Alain Biem, Shigeru Katagiri, Biing-Hwang Juang
Pattern recognition using discriminative feature extraction. IEEE Trans. Signal Process. 45 (2) (1997)
Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri
Discriminative metric design for robust pattern recognition. IEEE Trans. Signal Process. 45 (11) (1997)
Eric A. Woudenberg, Alain Biem, Erik McDermott, Shigeru Katagiri
Efficient normalization based upon GPD [generalized probabilistic descent]. ICASSP (1997)
Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso A. Poggio
Guest Editors' Introduction: Neural Networks For Signal Processing. IEEE Trans. Signal Process. 45 (11) (1997)
Alain Biem, Shigeru Katagiri
Cepstrum-based filter-bank design using discriminative feature extraction training at various levels. ICASSP (1997)
Erik McDermott, Shigeru Katagiri
String-level MCE for continuous phoneme recognition. EUROSPEECH (1997)
Hideyuki Watanabe, Shigeru Katagiri
HMM speech recognizer based on discriminative metric design. ICASSP (1997)
Erik McDermott, Eric A. Woudenberg, Shigeru Katagiri
A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent. ICASSP (1996)
Takashi Komori, Shigeru Katagiri
A Minimum Error Approach to Spotting-Based Pattern Recognition. IEICE Trans. Inf. Syst. (8) (1995)
Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri
Discriminative metric design for pattern recognition. ICASSP (1995)
Alain Biem, Erik McDermott, Shigeru Katagiri
A discriminative filter bank model for speech recognition. EUROSPEECH (1995)
Erik McDermott, Shigeru Katagiri
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units. Comput. Speech Lang. 8 (4) (1994)
Alain Biem, Shigeru Katagiri
Filter bank design based on discriminative feature extraction. ICASSP (1) (1994)
Yoshinaga Koto, Shigeru Katagiri
A novel fuzzy partition model architecture for classifying dynamic patterns. ICSLP (1994)
Erik McDermott, Shigeru Katagiri
Prototype-based minimum error training for speech recognition. Appl. Intell. 4 (3) (1994)
Erik McDermott, Shigeru Katagiri
Prototype-based MCE/GPD training for word spotting and connected word recognition. ICASSP (2) (1993)
Shigeru Katagiri, Chin-Hui Lee
A new hybrid algorithm for speech recognition based on HMM segmentation and learning vector quantization. IEEE Trans. Speech Audio Process. 1 (4) (1993)
Takashi Komori, Shigeru Katagiri
An optimal learning method for minimizing spotting errors. ICASSP (2) (1993)
Alain Biem, Shigeru Katagiri
Feature extraction based on minimum classification error/generalized probabilistic descent method. ICASSP (2) (1993)
Takashi Komori, Shigeru Katagiri
Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition. ICASSP (1992)
Erik McDermott, Shigeru Katagiri
Prototype-based discriminative training for various speech units. ICASSP (1992)
Biing-Hwang Juang, Shigeru Katagiri
Discriminative learning for minimum error classification [pattern recognition]. IEEE Trans. Signal Process. 40 (12) (1992)
Padma Ramesh, Shigeru Katagiri, Chin-Hui Lee
A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification. ICASSP (1991)
Erik McDermott, Shigeru Katagiri
LVQ-based shift-tolerant phoneme recognition. IEEE Trans. Signal Process. 39 (6) (1991)
Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott
Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm. ICASSP (1991)
Yasuhiro Minami, Toshiyuki Hanazawa, Hitoshi Iwamida, Erik McDermott, Kiyohiro Shikano, Shigeru Katagiri, Masaona Kagawa
On the robustness of HMM and ANN speech recognition algorithms. ICSLP (1990)
Akira Kurematsu, Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri, Hisao Kuwabara, Kiyohiro Shikano
ATR Japanese speech database as a tool of speech recognition and synthesis. Speech Commun. 9 (4) (1990)
Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott, Yoh'ichi Tohkura
A hybrid speech recognition system using HMMs with an LVQ-trained codebook. ICASSP (1990)
Yoshinori Sagisaka, Kazuya Takeda, M. Abel, Shigeru Katagiri, T. Umeda, Hisao Kuwabara
A large-scale Japanese speech database. ICSLP (1990)
Erik McDermott, Shigeru Katagiri
Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2. ICASSP (1989)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shigeru Katagiri