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2020 – today
- 2024
[j30]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: 3589-3602 (2024)- [c71]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: 11031-11035 - [i3]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 abs/2404.14860 (2024) - 2022
- [c70]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: 5418-5422 - [c69]Ginji Hayashi, Shigeru Katagiri, Xugang Lu, Miho Ohsaki:
An Investigation of Feature Difference Between Child and Adult Voices Using Line Spectral Pairs. SPML 2022: 94-100 - [c68]Koki Kishishita, Shigeru Katagiri, Miho Ohsaki:
A Proposal of an Improved Maximum Bayes Boundary-Ness Training Method. SPML 2022: 246-254 - [i2]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 abs/2201.06685 (2022) - 2021
- [j29]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: 132033-132052 (2021) - [j28]David Ha, Shigeru Katagiri, Hideyuki Watanabe, Miho Ohsaki:
An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation. J. Signal Process. Syst. 93(9): 1057-1084 (2021) - [c67]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: 101-106 - 2020
- [j27]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): 135-151 (2020)
2010 – 2019
- 2019
- [c66]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: 295-307 - [c65]Masahiro Senda, David Ha, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Maximum Bayes Boundary-Ness Training For Pattern Classification. SPML 2019: 18-28 - [c64]Naoto Umezaki, Takumi Okubo, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Minimum Classification Error Training with Speech Synthesis-Based Regularization for Speech Recognition. SPML 2019: 62-72 - 2018
- [c63]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: 2287-2294 - [c62]Tsubasa Ochiai, Shinji Watanabe, Shigeru Katagiri, Takaaki Hori, John R. Hershey:
Speaker Adaptation for Multichannel End-to-End Speech Recognition. ICASSP 2018: 6707-6711 - [c61]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: 1-6 - [c60]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: 1242-1247 - [c59]David Ha, Hideyuki Watanabe, Yuya Tomotoshi, Emilie Delattre, Shigeru Katagiri:
Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method. SPML 2018: 107-114 - 2017
- [j26]Miho Ohsaki, Peng Wang, Kenji Matsuda, Shigeru Katagiri, Hideyuki Watanabe, Anca L. Ralescu:
Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 29(9): 1806-1819 (2017) - [c58]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: 5175-5179 - [c57]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri:
Automatic node selection for Deep Neural Networks using Group Lasso regularization. ICASSP 2017: 5485-5489 - [c56]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: 1-6 - [c55]Ryoma Tani, Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Compact kernel classifiers trained with minimum classification error criterion. MLSP 2017: 1-6 - 2016
- [j25]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. 99-D(10): 2431-2443 (2016) - [c54]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: 5015-5019 - [i1]Tsubasa Ochiai, Shigeki Matsuda, Hideyuki Watanabe, Shigeru Katagiri:
Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization. CoRR abs/1611.05527 (2016) - 2015
- [c53]Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe:
Formulation of the kernel logistic regression based on the confusion matrix. CEC 2015: 2327-2334 - [c52]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: 4605-4609 - 2014
- [j24]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): 281-283 (2014) - [j23]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): 297-310 (2014) - [j22]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): 311-322 (2014) - [c51]Tsubasa Ochiai, Shigeki Matsuda, Xugang Lu, Chiori Hori, Shigeru Katagiri:
Speaker Adaptive Training using Deep Neural Networks. ICASSP 2014: 6349-6353 - 2012
- [c50]Shigeru Katagiri, Hideyuki Watanabe:
Minimum classification error vs. maximum margin: How should we penalize unseen samples? CIP 2012: 1-6 - [c49]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: 2081-2084 - [c48]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: 780-784 - 2011
- [c47]Tieniu Tan, Shigeru Katagiri, Jianhua Tao, Atsushi Nakamura, Jan Larsen:
Preface. MLSP 2011: 1 - [c46]Hideyuki Watanabe, Shigeru Katagiri, Miho Ohsaki:
Minimum classification error training with geometric margin enhancement for robust pattern recognition. MLSP 2011: 1-6 - [c45]Hideyuki Watanabe, Jun'ichi Tokuno, Tsukasa Ohashi, Shigeru Katagiri, Miho Ohsaki:
Minimum classification error training with automatic setting of loss smoothness. MLSP 2011: 1-6 - 2010
- [c44]Hideyuki Watanabe, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Miho Ohsaki:
Minimum Error Classification with geometric margin control. ICASSP 2010: 2170-2173
2000 – 2009
- 2009
- [c43]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: 1633-1636 - [c42]Miho Ohsaki, Masakazu Nakase, Shigeru Katagiri:
Analysis of Subsequence Time-Series Clustering Based on Moving Average. ICDM 2009: 902-907 - 2007
- [j21]John Hogden, Philip Rubin, Erik McDermott, Shigeru Katagiri, Louis Goldstein:
Inverting mappings from smooth paths through Rn to paths through Rm: A technique applied to recovering articulation from acoustics. Speech Commun. 49(5): 361-383 (2007) - [j20]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): 203-223 (2007) - 2006
- [j19]Erik McDermott, Shigeru Katagiri:
Discriminative training via minimization of risk estimates based on Parzen smoothing. Appl. Intell. 25(1): 37-57 (2006) - [j18]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): 5-9 (2006) - [j17]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): 7-19 (2006) - 2005
- [c41]Erik McDermott, Shigeru Katagiri:
Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers. ICASSP (1) 2005: 113-116 - 2004
- [j16]Erik McDermott, Shigeru Katagiri:
A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. Comput. Speech Lang. 18(2): 107-122 (2004) - [c40]Parham Zolfaghari, Shinji Watanabe, Atsushi Nakamura, Shigeru Katagiri:
Bayesian modelling of the speech spectrum using mixture of Gaussians. ICASSP (1) 2004: 553-556 - [c39]Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri:
A theoretical analysis of speech recognition based on feature trajectory models. INTERSPEECH 2004: 549-552 - 2003
- [c38]Yasuhiro Minami, Erik McDermott, Atsushi Nakamura, Shigeru Katagiri:
Recognition method with parametric trajectory generated from mixture distribution HMMs. ICASSP (1) 2003: 124-127 - [c37]Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri:
Pervasive unsupervised adaptation for lecture speech transcription. ICASSP (1) 2003: 292-295 - [c36]Chiori Hori, Takaaki Hori, Hideki Isozaki, Eisaku Maeda, Shigeru Katagiri, Sadaoki Furui:
Deriving disambiguous queries in a spoken interactive ODQA system. ICASSP (1) 2003: 624-627 - [c35]Erik McDermott, Shigeru Katagiri:
A new formalization of minimum classification error using a Parzen estimate of classification chance. ICASSP (2) 2003: 713-716 - [c34]John Hogden, Patrick Valdez, Shigeru Katagiri, Erik McDermott:
Blind inversion of multidimensional functions for speech enhancement. INTERSPEECH 2003: 1409-1412 - 2002
- [j15]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): 789-792 (2002) - [c33]Daniel Willett, Shigeru Katagiri:
Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation. ICASSP 2002: 713-716 - [c32]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: 957-960 - [c31]Erik McDermott, Shigeru Katagiri:
Classification error from the theoretical Bayes classification risk. INTERSPEECH 2002: 2465-2468 - [c30]Erik McDermott, Shigeru Katagiri:
Minimum classification error via a Parzen window based estimate of the theoretical Bayes classification risk. NNSP 2002: 415-424 - 2001
- [j14]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): 203-218 (2001) - [j13]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): 96-110 (2001) - [c29]Daniel Willett, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri:
Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. INTERSPEECH 2001: 847-850 - 2000
- [c28]Kazumi Saito, Naonori Ueda, Shigeru Katagiri, Yutaka Fukai, Hiroshi Fujimaru, Masayuki Fujinawa:
Law discovery from financial data using neural networks. CIFEr 2000: 209-212 - [c27]Erik McDermott, Alain Biem, Seiichi Tenpaku, Shigeru Katagiri:
Discriminative training for large vocabulary telephone-based name recognition. ICASSP 2000: 3739-3742
1990 – 1999
- 1999
- [j12]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): 2615-2618 (1999) - [c26]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: 779-782 - 1998
- [j11]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): 2345-2373 (1998) - [c25]Hideyuki Watanabe, Yuji Matsumoto, Shigeru Katagiri:
Minimum detection error training for acoustic signal monitoring. ICASSP 1998: 1193-1196 - 1997
- [j10]Alain Biem, Shigeru Katagiri, Biing-Hwang Juang:
Pattern recognition using discriminative feature extraction. IEEE Trans. Signal Process. 45(2): 500-504 (1997) - [j9]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): 2637-2638 (1997) - [j8]Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri:
Discriminative metric design for robust pattern recognition. IEEE Trans. Signal Process. 45(11): 2655-2662 (1997) - [c24]Alain Biem, Shigeru Katagiri:
Cepstrum-based filter-bank design using discriminative feature extraction training at various levels. ICASSP 1997: 1503-1506 - [c23]Hideyuki Watanabe, Shigeru Katagiri:
HMM speech recognizer based on discriminative metric design. ICASSP 1997: 3237-3240 - [c22]Eric A. Woudenberg, Alain Biem, Erik McDermott, Shigeru Katagiri:
Efficient normalization based upon GPD [generalized probabilistic descent]. ICASSP 1997: 3245-3248 - [c21]Erik McDermott, Shigeru Katagiri:
String-level MCE for continuous phoneme recognition. EUROSPEECH 1997: 123-126 - 1996
- [c20]Erik McDermott, Eric A. Woudenberg, Shigeru Katagiri:
A telephone-based directory assistance system adaptively trained using minimum classification error/generalized probabilistic descent. ICASSP 1996: 3346-3349 - 1995
- [j7]Takashi Komori, Shigeru Katagiri:
A Minimum Error Approach to Spotting-Based Pattern Recognition. IEICE Trans. Inf. Syst. 78-D(8): 1032-1043 (1995) - [c19]Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri:
Discriminative metric design for pattern recognition. ICASSP 1995: 3439-3442 - [c18]Alain Biem, Erik McDermott, Shigeru Katagiri:
A discriminative filter bank model for speech recognition. EUROSPEECH 1995: 545-548 - 1994
- [j6]Erik McDermott, Shigeru Katagiri:
Prototype-based minimum error training for speech recognition. Appl. Intell. 4(3): 245-256 (1994) - [j5]Erik McDermott, Shigeru Katagiri:
Prototype-based minimum classification error/generalized probabilistic descent training for various speech units. Comput. Speech Lang. 8(4): 351-368 (1994) - [c17]Alain Biem, Shigeru Katagiri:
Filter bank design based on discriminative feature extraction. ICASSP (1) 1994: 485-488 - [c16]Yoshinaga Koto, Shigeru Katagiri:
A novel fuzzy partition model architecture for classifying dynamic patterns. ICSLP 1994: 1551-1554 - 1993
- [j4]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): 421-430 (1993) - [c15]Takashi Komori, Shigeru Katagiri:
An optimal learning method for minimizing spotting errors. ICASSP (2) 1993: 271-274 - [c14]Alain Biem, Shigeru Katagiri:
Feature extraction based on minimum classification error/generalized probabilistic descent method. ICASSP (2) 1993: 275-278 - [c13]Erik McDermott, Shigeru Katagiri:
Prototype-based MCE/GPD training for word spotting and connected word recognition. ICASSP (2) 1993: 291-294 - 1992
- [j3]Biing-Hwang Juang, Shigeru Katagiri:
Discriminative learning for minimum error classification [pattern recognition]. IEEE Trans. Signal Process. 40(12): 3043-3054 (1992) - [c12]Erik McDermott, Shigeru Katagiri:
Prototype-based discriminative training for various speech units. ICASSP 1992: 417-420 - [c11]Takashi Komori, Shigeru Katagiri:
Application of a generalized probabilistic descent method to dynamic time warping-based speech recognition. ICASSP 1992: 497-500 - 1991
- [j2]Erik McDermott, Shigeru Katagiri:
LVQ-based shift-tolerant phoneme recognition. IEEE Trans. Signal Process. 39(6): 1398-1411 (1991) - [c10]Padma Ramesh, Shigeru Katagiri, Chin-Hui Lee:
A new connected word recognition algorithm based on HMM/LVQ segmentation and LVQ classification. ICASSP 1991: 113-116 - [c9]Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott:
Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm. ICASSP 1991: 553-556 - 1990
- [j1]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): 357-363 (1990) - [c8]Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott, Yoh'ichi Tohkura:
A hybrid speech recognition system using HMMs with an LVQ-trained codebook. ICASSP 1990: 489-492 - [c7]Yoshinori Sagisaka, Kazuya Takeda, M. Abel, Shigeru Katagiri, T. Umeda, Hisao Kuwabara:
A large-scale Japanese speech database. ICSLP 1990: 1089-1092 - [c6]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: 1345-1348
1980 – 1989
- 1989
- [c5]Erik McDermott, Shigeru Katagiri:
Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2. ICASSP 1989: 81-84 - [c4]Shigeru Katagiri, Erik McDermott, Manami Yokota:
A new algorithm for representing acoustic feature dynamics. ICASSP 1989: 322-325 - [c3]Hisao Kuwabara, Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri, S. Morikawa, T. Watanabe:
Construction of a large-scale Japanese speech database and its management system. ICASSP 1989: 560-563 - 1987
- [c2]Shigeru Katagiri, Manami Yokota:
Phoneme recognition using visual features on speech spectrograms. ECST 1987: 1365-1368 - [c1]Kazuya Takeda, Yoshinori Sagisaka, Shigeru Katagiri:
Acoustic-phonetic labels in a Japanese speech database. ECST 1987: 2013-2016
Coauthor Index
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