Tetsuji Ogawa

发表

I: METHODOLOGY

O. Kitao, Tetsuji Ogawa, 2003, Deception: Counterdeception and Counterintelligence.

Adaptive training of vibration-based anomaly detector for wind turbine condition monitoring

Tetsuji Ogawa, Masahiro Murakawa, Tetsunori Kobayashi, 2020 .

Anomaly Detection based on Representation Learning for normal and faulty classification

Tetsuji Ogawa, Jun Ogata, Masahiro Murakawa, 2017 .

The Extended Universal Force Field (XUFF): Theory and Applications

T. Nakano, Tetsuji Ogawa, 2010 .

Psychological measure on fish catches and its application to optimization criterion for machine-learning-based predictors

Tetsunori Kobayashi, Tetsuji Ogawa, Yuya Kokaki, 2019, OCEANS 2019 - Marseille.

Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals

Tetsuji Ogawa, Kohei Saijo, 2022, INTERSPEECH.

Refinement of Utterance Fluency Feature Extraction and Automated Scoring of L2 Oral Fluency with Dialogic Features

Tetsuji Ogawa, Yoichi Matsuyama, Shungo Suzuki, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Associative Memory Model-Based Linear Filtering and Its Application to Tandem Connectionist Blind Source Separation

Tetsuji Ogawa, Tetsunori Kobayashi, Motoi Omachi, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation

Tetsuji Ogawa, Tetsunori Kobayashi, Masahito Togami, 2020, INTERSPEECH.

Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor

Tetsuji Ogawa, Tetsunori Kobayashi, Masahito Togami, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classical trajectory calculations of collision energy dependence of total and partial Penning ionization cross sections for He*(23S)+N2→He+N2++e−

Tetsuji Ogawa, Koichi Ohno, Tetsuji Ogawa, 1999 .

Collision‐energy/electron‐energy resolved two‐dimensional study of Penning ionization of Ar by He metastable atoms 23S and 21S

Tetsuji Ogawa, H. Yamakado, K. Ohno, 1996 .

Two-dimensional Penning ionization electron spectroscopy of CO/He*(23S)

Tetsuji Ogawa, K. Ohno, N. Kishimoto, 2001 .

Trajectory calculations of two-dimensional Penning ionization electron spectra of N2 in collision with metastable He* 23S atoms

Tetsuji Ogawa, K. Ohno, N. Kishimoto, 2000 .

Classical Trajectory Calculations of Collision Energy Dependence of Partial Penning Ionization Cross Sections for He * (2 3 S) + CH 3 CN → He + CH 3 CN + + e -

Tetsuji Ogawa, K. Ohno, 1999 .

Penning Ionization of NCCN by Experiment and Theory: A Two-Dimensional Penning Ionization Electron Spectroscopic and Quantum Chemical Study

Tetsuji Ogawa, K. Ohno, N. Kishimoto, 1999 .

PENNING IONIZATION OF CYCLOPROPANES BY COLLISION WITH HE*(23S) METASTABLE ATOMS

Tetsuji Ogawa, H. Yamakado, K. Ohno, 1997 .

Deep Multi-stream Network for Video-based Calving Sign Detection

Tetsuji Ogawa, Teppei Nakano, Ryosuke Hyodo, 2023, ArXiv.

A method for solving the permutation problem of frequency-domain BSS using reference signal

Takashi Isa, Toshiyuki Sekiya, Tetsuji Ogawa, 2006, 2006 14th European Signal Processing Conference.

Data Assimilation Versus Machine Learning: Comparative Study Of Fish Catch Forecasting

Tetsuji Ogawa, Tetsunori Kobayashi, Yuka Horiuchi, 2019, OCEANS 2019 - Marseille.

Sequential Fish Catch Forecasting Using Bayesian State Space Models

Tetsuji Ogawa, Tetsunori Kobayashi, Kazuo Hashimoto, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A sampling-based speaker clustering using utterance-oriented Dirichlet process mixture model and its evaluation on large-scale data

Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe, 2015, APSIPA Transactions on Signal and Information Processing.

Speaker Clustering Based on Utterance-Oriented Dirichlet Process Mixture Model

Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe, 2011, INTERSPEECH.

Self-Remixing: Unsupervised Speech Separation via Separation and Remixing

Tetsuji Ogawa, Kohei Saijo, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Conversation-oriented ASR with multi-look-ahead CBS architecture

Tetsunori Kobayashi, S. Fujie, Tetsuji Ogawa, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improved Mask-CTC for Non-Autoregressive End-to-End ASR

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2020, INTERSPEECH.

Neural Diarization with Non-Autoregressive Intermediate Attractors

Tetsuji Ogawa, Yusuke Kida, Robin Scheibler, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder

Tetsuji Ogawa, Tetsunori Kobayashi, Naohiro Tawara, 2019, INTERSPEECH.

An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR pdf

Tetsuji Ogawa, Yosuke Higuchi, Tetsunori Kobayashi, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition

Satoshi Nakamura, Shingo Kuroiwa, Tetsuji Ogawa, 2010, AVSP.

Text-Only Domain Adaptation Based on Intermediate CTC

Tetsuji Ogawa, Shoei Sato, Tomoyasu Komori, 2022, INTERSPEECH.

SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network

Tetsuji Ogawa, M. Onishi, Masayuki Tanaka, 2021, IEEE Access.

CENSREC-4: development of evaluation framework for distant-talking speech recognition under reverberant environments

Satoshi Nakamura, Shingo Kuroiwa, Tetsuji Ogawa, 2008, INTERSPEECH.

Efficient Human-In-The-Loop Object Detection using Bi-Directional Deep SORT and Annotation-Free Segment Identification

Tetsunori Kobayashi, Tetsuji Ogawa, Teppei Nakano, 2020, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

CENSREC-4: An evaluation framework for distant-talking speech recognition in reverberant environments

Shingo Kuroiwa, Tetsuji Ogawa, Tetsuya Takiguchi, 2011 .

Machine learning for speaker recognition

Tetsuji Ogawa, Tomoko Matsui, T. Matsui, 2013 .

CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments

Shingo Kuroiwa, Tetsuji Ogawa, Tetsuya Takiguchi, 2009 .

Electron Transfer at Dye-sensitized Solar Cells. 2.

J. Otomo, O. Kitao, Tetsuji Ogawa, 2000 .

Do You Know How Humans Sound? Exploring a Qualification Test Design for Crowdsourced Evaluation of Voice Synthesis Quality

Tetsuji Ogawa, Teppei Nakano, Susumu Saito, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Selective and sensitive spectrophotometric determination of copper in water after collection of its bathocuproine complex on an organic-solvent-soluble membrane filter

Tetsuji Ogawa, N. Hata, S. Taguchi, 1989 .

Hydrogen bonding of DNA base pairs by consistent charge equilibration method combined with universal force field

O. Kitao, Tetsuji Ogawa, N. Kurita, 2003 .

BECTRA: Transducer-Based End-To-End ASR with Bert-Enhanced Encoder

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances

Tetsuji Ogawa, Marc Delcroix, Atsunori Ogawa, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech Enhancement Using a Square Microphone Array in the Presence of Directional and Diffuse Noise

Kenzo Akagiri, Tetsuji Ogawa, Tetsunori Kobayashi, 2010, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Video semantic indexing using object detection-derived features

Tetsuji Ogawa, Tetsunori Kobayashi, Kazuya Ueki, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning

Tetsuji Ogawa, Jun Ogata, Masahiro Murakawa, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

Vibration-Based Fault Detection for Flywheel Condition Monitoring

Tetsuji Ogawa, Takanori Hasegawa, Teppei Nakano, 2019, Procedia Structural Integrity.

Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent

Tetsunori Kobayashi, S. Fujie, Tetsuji Ogawa, 2022, Interspeech.

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue

Tetsuji Ogawa, Yoichi Matsuyama, Satoshi Kobashikawa, 2021, 2021 IEEE Spoken Language Technology Workshop (SLT).

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2022, EMNLP.

CHARM-Deep: Continuous Human Activity Recognition Model Based on Deep Neural Network Using IMU Sensors of Smartwatch

Tetsuji Ogawa, Walid Gomaa, Sara Ashry, 2020, IEEE Sensors Journal.

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

Tetsunori Kobayashi, Tetsuji Ogawa, Yosuke Higuchi, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nested Gibbs sampling for mixture-of-mixture model and its application to speaker clustering

Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe, 2016, APSIPA Transactions on Signal and Information Processing.

Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations

Tetsuji Ogawa, Tetsunori Kobayashi, Tomoharu Iwata, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders

Tetsunori Kobayashi, Tetsuji Ogawa, Yoshihiko Hayashi, 2019, PACLING.

Design of Discriminators in GAN-Based Unsupervised Learning of Neural Post-Processors for Suppressing Localized Spectral Distortion

Tetsuji Ogawa, Kohei Saijo, Rikuo Ogino, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation

Tetsuji Ogawa, Kohei Saijo, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Uncertainty estimation of DNN classifiers

Tetsuji Ogawa, Hynek Hermansky, Sri Harish Reddy Mallidi, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

UNCERTAINTY ESTIMATION OF DNN CLASSIFIERS Sri

H. Hermansky, Tetsuji Ogawa, H. Mallidi, 2015 .

Stream selection and integration in multistream ASR using GMM-based performance monitoring

Tetsuji Ogawa, Hynek Hermansky, Feipeng Li, 2013, INTERSPEECH.

Intermpl: Momentum Pseudo-Labeling With Intermediate CTC Loss

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic Feature Representation Based on Timbre for Fault Detection of Rotary Machines

Tetsunori Kobayashi, Kesaaki Minemura, Tetsuji Ogawa, 2018, 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).

Real-Time Large-Scale Map Matching Using Mobile Phone Data

Ahmed El-Mahdy, Tetsuji Ogawa, Essam Algizawy, 2017, ACM Trans. Knowl. Discov. Data.

Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing

Tetsuji Ogawa, Teppei Nakano, Susumu Saito, 2022, INTERSPEECH.

A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction

Tetsuji Ogawa, Zhong-Qiu Wang, Wangyou Zhang, 2023, 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages

Tetsuji Ogawa, Tetsunori Kobayashi, Naohiro Tawara, 2019, Interspeech.