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Tetsuji Ogawa
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2020 – today
- 2024
- [c93]Kota Mochida, Teppei Nakano, Shinya Fujie, Mari Wakabayashi, Tomomi Sato, Tetsuji Ogawa:
Exploring Robust and Explainable Design for Facial Expression-Based Emotional State Estimation in Children with Profound Intellectual Multiple Disabilities. EUSIPCO 2024: 481-485 - [c92]Takuya Wakayama, Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa:
Normal with Occasional Anomalies: Feature Extraction for Detecting Non-Stationary Abnormal Events in Wind Turbines. EUSIPCO 2024: 2012-2016 - [c91]Tomoki Ariga, Yosuke Higuchi, Kazutoshi Hayasaka, Naoki Okamoto, Tetsuji Ogawa:
Parody Detection Using Source-Target Attention with Teacher-Forced Lyrics. ICASSP 2024: 1151-1155 - [c90]Haruki Konii, Teppei Nakano, Yasumasa Miyazawa, Tetsuji Ogawa:
Leveraging Data from Vast Unexplored Seas: Positive Unlabeled Learning for Refining Prediction Area in Good Fishing Ground Prediction. ICPR (10) 2024: 143-158 - 2023
- [j13]Yusuke Fujita
, Tetsuji Ogawa
Self-Conditioning via Intermediate Predictions for End-to-End Neural Speaker Diarization. IEEE Access 11: 140069-140076 (2023) - [c89]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. ASRU 2023: 1-6 - [c88]Huaibo Zhao, Yosuke Higuchi, Yusuke Kida, Tetsuji Ogawa, Tetsunori Kobayashi:
Mask-CTC-Based Encoder Pre-Training for Streaming End-to-End Speech Recognition. EUSIPCO 2023: 56-60 - [c87]Yuta Ide, Naohiro Tawara, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Voice or Content? - Exploring Impact of Speech Content on Age Estimation from Voice. EUSIPCO 2023: 221-225 - [c86]Tomoki Ariga, Yosuke Higuchi, Mitsunori Kanno, Rie Shigyo, Takato Mizuguchi, Naoki Okamoto, Tetsuji Ogawa:
Spotting Parodies: Detecting Alignment Collapse Between Lyrics and Singing Voice. EUSIPCO 2023: 286-290 - [c85]Yusuke Fujita, Tatsuya Komatsu, Robin Scheibler, Yusuke Kida, Tetsuji Ogawa:
Neural Diarization with Non-Autoregressive Intermediate Attractors. ICASSP 2023: 1-5 - [c84]Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe:
Intermpl: Momentum Pseudo-Labeling With Intermediate CTC Loss. ICASSP 2023: 1-5 - [c83]Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe:
BECTRA: Transducer-Based End-To-End ASR with Bert-Enhanced Encoder. ICASSP 2023: 1-5 - [c82]Kohei Saijo, Tetsuji Ogawa:
Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing. ICASSP 2023: 1-5 - [c81]Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa, Jin Sakuma, Yusuke Kida, Tetsunori Kobayashi:
Conversation-Oriented ASR with Multi-Look-Ahead CBS Architecture. ICASSP 2023: 1-5 - [c80]Ahmed Hammad Azab, Ahmed Bayoumy Zaki, Tetsuji Ogawa, Walid Gomaa:
Masry: A Text-to-Speech System for the Egyptian Arabic. ICINCO (2) 2023: 219-226 - [c79]Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa:
Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. ICMLA 2023: 1305-1310 - [c78]Fatma Youssef, Ahmed El-Mahdy, Tetsuji Ogawa, Walid Gomaa:
Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition. IJCNN 2023: 1-8 - [c77]Kohei Saijo, Tetsuji Ogawa:
Remixing-based Unsupervised Source Separation from Scratch. INTERSPEECH 2023: 1678-1682 - [i19]Ryosuke Hyodo, Susumu Saito, Teppei Nakano, Makoto Akabane, Ryoichi Kasuga, Tetsuji Ogawa:
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle. CoRR abs/2301.03926 (2023) - [i18]Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa:
Deep Multi-stream Network for Video-based Calving Sign Detection. CoRR abs/2302.08493 (2023) - [i17]Yusuke Fujita, Tatsuya Komatsu, Robin Scheibler, Yusuke Kida, Tetsuji Ogawa:
Neural Diarization with Non-autoregressive Intermediate Attractors. CoRR abs/2303.06806 (2023) - [i16]Kohei Saijo, Tetsuji Ogawa:
Remixing-based Unsupervised Source Separation from Scratch. CoRR abs/2309.00376 (2023) - [i15]Huaibo Zhao, Yosuke Higuchi, Yusuke Kida, Tetsuji Ogawa, Tetsunori Kobayashi:
Mask-CTC-based Encoder Pre-training for Streaming End-to-End Speech Recognition. CoRR abs/2309.04654 (2023) - [i14]Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi:
Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition. CoRR abs/2309.10524 (2023) - [i13]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction. CoRR abs/2310.08277 (2023) - 2022
- [j12]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa:
Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. IEICE Trans. Inf. Syst. 105-D(1): 150-160 (2022) - [c76]Ryo Yanagisawa, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
PostMe: Unsupervised Dynamic Microtask Posting For Efficient and Reliable Crowdsourcing. IEEE Big Data 2022: 4049-4054 - [c75]Yosuke Higuchi, Brian Yan, Siddhant Arora, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe:
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model. EMNLP (Findings) 2022: 5486-5503 - [c74]Kohei Saijo, Tetsuji Ogawa:
Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation. ICASSP 2022: 4373-4377 - [c73]Yosuke Higuchi, Keita Karube, Tetsuji Ogawa, Tetsunori Kobayashi:
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units. ICASSP 2022: 7797-7801 - [c72]Kohei Saijo, Tetsuji Ogawa:
Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals. INTERSPEECH 2022: 251-255 - [c71]Hiroaki Sato, Tomoyasu Komori, Takeshi Mishima, Yoshihiko Kawai, Takahiro Mochizuki, Shoei Sato, Tetsuji Ogawa:
Text-Only Domain Adaptation Based on Intermediate CTC. INTERSPEECH 2022: 2208-2212 - [c70]Mao Saeki, Kotoka Miyagi, Shinya Fujie, Shungo Suzuki, Tetsuji Ogawa, Tetsunori Kobayashi, Yoichi Matsuyama:
Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent. INTERSPEECH 2022: 3988-3992 - [c69]Yuta Ide, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing. INTERSPEECH 2022: 5100-5104 - [i12]Kohei Saijo, Tetsuji Ogawa:
Remix-cycle-consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation. CoRR abs/2203.14080 (2022) - [i11]Yosuke Higuchi, Brian Yan, Siddhant Arora, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model. CoRR abs/2210.16663 (2022) - [i10]Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe
BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder. CoRR abs/2211.00792 (2022) - [i9]Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi, Shinji Watanabe
InterMPL: Momentum Pseudo-Labeling with Intermediate CTC Loss. CoRR abs/2211.00795 (2022) - [i8]Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa, Jin Sakuma, Yusuke Kida, Tetsunori Kobayashi:
Conversation-oriented ASR with multi-look-ahead CBS architecture. CoRR abs/2211.00858 (2022) - [i7]Kohei Saijo, Tetsuji Ogawa:
Self-Remixing: Unsupervised Speech Separation via Separation and Remixing. CoRR abs/2211.10194 (2022) - 2021
- [j11]Koki Madono
SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network. IEEE Access 9: 129385-129393 (2021) - [c68]Huaibo Zhao, Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi:
An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR. APSIPA ASC 2021: 477-483 - [c67]Kohei Saijo, Kazuhiro Katagiri, Masaru Fujieda, Tetsunori Kobayashi, Tetsuji Ogawa:
Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources. APSIPA ASC 2021: 603-607 - [c66]Koki Madono
Scrambling Parameter Generation to Improve Perceptual Information Hiding. HVEI 2021 - [c65]Yosuke Higuchi, Hirofumi Inaguma, Shinji Watanabe
Improved Mask-CTC for Non-Autoregressive End-to-End ASR. ICASSP 2021: 8363-8367 - [c64]Susumu Saito, Yuta Ide, Teppei Nakano, Tetsuji Ogawa:
VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification. Interspeech 2021: 1723-1727 - [c63]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Efficient and Stable Adversarial Learning Using Unpaired Data for Unsupervised Multichannel Speech Separation. Interspeech 2021: 3051-3055 - [c62]Mao Saeki
Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue. SLT 2021: 629-635 - [i6]Yosuke Higuchi, Keita Karube, Tetsuji Ogawa, Tetsunori Kobayashi:
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units. CoRR abs/2110.04109 (2021) - [i5]Huaibo Zhao, Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi:
An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR. CoRR abs/2110.10402 (2021) - 2020
- [c61]Koki Madono, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
Efficient Human-In-The-Loop Object Detection using Bi-Directional Deep SORT and Annotation-Free Segment Identification. APSIPA 2020: 1226-1233 - [c60]Hikari Tanabe, Tetsuji Ogawa, Tetsunori Kobayashi, Yoshihiko Hayashi:
Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification. COLING 2020: 5535-5540 - [c59]Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Noise-robust Attention Learning for End-to-End Speech Recognition. EUSIPCO 2020: 311-315 - [c58]Takuya Hasumi, Tetsunori Kobayashi, Tetsuji Ogawa:
Investigation of Network Architecture for Single-Channel End-to-End Denoising. EUSIPCO 2020: 441-445 - [c57]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor. ICASSP 2020: 671-675 - [c56]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix
Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. ICASSP 2020: 6799-6803 - [c55]Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa:
Feature Representation Learning for Calving Detection of Cows Using Video Frames. ICPR 2020: 4131-4136 - [c54]Yusuke Okimoto, Soshi Kawata, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage. ICPR 2020: 4356-4362 - [c53]Yuriko Kawano, Susumu Saito, Teppei Nakano, Ikumi Kondo, Ryota Yamazaki, Hiromi Kusaka, Minoru Sakaguchi, Tetsuji Ogawa:
Toward Building a Data-Driven System For Detecting Mounting Actions of Black Beef Cattle. ICPR 2020: 4458-4464 - [c52]Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation. INTERSPEECH 2020: 86-90 - [c51]Yosuke Higuchi, Shinji Watanabe
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. INTERSPEECH 2020: 3655-3659 - [i4]Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa:
Block-wise Scrambled Image Recognition Using Adaptation Network. CoRR abs/2001.07761 (2020) - [i3]Yosuke Higuchi, Shinji Watanabe, Nanxin Chen, Tetsuji Ogawa, Tetsunori Kobayashi:
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. CoRR abs/2005.08700 (2020) - [i2]Yosuke Higuchi, Hirofumi Inaguma, Shinji Watanabe, Tetsuji Ogawa, Tetsunori Kobayashi:
Improved Mask-CTC for Non-Autoregressive End-to-End ASR. CoRR abs/2010.13270 (2020) - [i1]Masaya Morinaga, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploring Effectiveness of Inter-Microtask Qualification Tests in Crowdsourcing. CoRR abs/2012.10999 (2020)
2010 – 2019
- 2019
- [c50]Naohiro Tawara, Hikari Tanabe, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, Tetsuji Ogawa:
Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training. ICASSP 2019: 3282-3286 - [c49]Mao Saeki, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa:
Visual explanation of neural network based rotation machinery anomaly detection system. ICPHM 2019: 1-4 - [c48]Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa:
Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder. INTERSPEECH 2019: 86-90 - [c47]Yosuke Higuchi, Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa:
Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages. INTERSPEECH 2019: 266-270 - [c46]Hiroaki Tsuyuki, Tetsuji Ogawa, Tetsunori Kobayashi, Yoshihiko Hayashi:
SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders. PACLING 2019: 43-55 - 2018
- [c45]Naohiro Tawara, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, Tetsuji Ogawa:
Adversarial autoencoder for reducing nonlinear distortion. APSIPA 2018: 1669-1673 - [c44]Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi:
Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning. ICASSP 2018: 2381-2385 - [c43]Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi:
Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. ICASSP 2018: 6084-6088 - [c42]Takanori Hasegawa, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa:
Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning. ICPHM 2018: 1-7 - [c41]Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto, Tetsuji Ogawa:
Sequential Fish Catch Forecasting Using Bayesian State Space Models. ICPR 2018: 776-781 - [c40]Kazuya Ueki, Yu Nakagome, Koji Hirakawa, Kotaro Kikuchi, Yoshihiko Hayashi, Tetsuji Ogawa, Tetsunori Kobayashi:
Waseda_Meisei at TRECVID 2018: Ad-hoc Video Search. TRECVID 2018 - 2017
- [j10]Motoi Omachi
Associative Memory Model-Based Linear Filtering and Its Application to Tandem Connectionist Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 637-650 (2017) - [j9]Essam Algizawy, Tetsuji Ogawa, Ahmed El-Mahdy
Real-Time Large-Scale Map Matching Using Mobile Phone Data. ACM Trans. Knowl. Discov. Data 11(4): 52:1-52:38 (2017) - [c39]Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. APSIPA 2017: 1263-1267 - [c38]Kazuya Ueki, Koji Hirakawa, Kotaro Kikuchi, Tetsuji Ogawa, Tetsunori Kobayashi:
Waseda_Meisei at TRECVID 2017: Ad-hoc Video Search. TRECVID 2017 - 2016
- [c37]Kotaro Kikuchi, Kazuya Ueki, Tetsuji Ogawa, Tetsunori Kobayashi:
Video semantic indexing using object detection-derived features. EUSIPCO 2016: 1288-1292 - [c36]Tetsuji Ogawa, Sri Harish Reddy Mallidi, Emmanuel Dupoux, Jordan Cohen, Naomi H. Feldman
A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. ICPR 2016: 2222-2227 - 2015
- [c35]Sri Harish Reddy Mallidi, Tetsuji Ogawa, Hynek Hermansky
Uncertainty estimation of DNN classifiers. ASRU 2015: 283-288 - [c34]Motoi Omachi, Tetsuji Ogawa, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri:
Separation matrix optimization using associative memory model for blind source separation. EUSIPCO 2015: 1098-1102 - [c33]Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi:
A comparative study of spectral clustering for i-vector-based speaker clustering under noisy conditions. ICASSP 2015: 2041-2045 - [c32]Hynek Hermansky, Lukás Burget
Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop. ICASSP 2015: 5009-5013 - [c31]Tetsuji Ogawa, Kenshiro Ueda, Kouichi Katsurada, Tetsunori Kobayashi, Tsuneo Nitta:
Bilinear map of filter-bank outputs for DNN-based speech recognition. INTERSPEECH 2015: 16-20 - [c30]Sri Harish Reddy Mallidi, Tetsuji Ogawa, Karel Veselý, Phani S. Nidadavolu, Hynek Hermansky:
Autoencoder based multi-stream combination for noise robust speech recognition. INTERSPEECH 2015: 3551-3555 - 2014
- [c29]Yuichi Kubota, Motoi Omachi, Tetsuji Ogawa, Tetsunori Kobayashi, Tsuneo Nitta:
Effect of frequency weighting on MLP-based speaker canonicalization. INTERSPEECH 2014: 2987-2991 - 2013
- [c28]Hideitsu Hino, Tetsuji Ogawa:
Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. ACPR 2013: 562-566 - [c27]Tetsuji Ogawa, Feipeng Li, Hynek Hermansky:
Stream selection and integration in multistream ASR using GMM-based performance monitoring. INTERSPEECH 2013: 3332-3336 - [c26]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe
Blocked Gibbs sampling based multi-scale mixture model for speaker clustering on noisy data. MLSP 2013: 1-6 - 2012
- [c25]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe
Fully Bayesian inference of multi-mixture Gaussian model and its evaluation using speaker clustering. ICASSP 2012: 5253-5256 - [c24]Hideitsu Hino, Tetsuji Ogawa:
An improved entropy-based multiple kernel learning. ICPR 2012: 1189-1192 - [c23]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi:
Fully Bayesian speaker clustering based on hierarchically structured utterance-oriented Dirichlet process mixture model. INTERSPEECH 2012: 2166-2169 - 2011
- [j8]Tetsuji Ogawa
Class-Distance-Based Discriminant Analysis and Its Application to Supervised Automatic Age Estimation. IEICE Trans. Inf. Syst. 94-D(8): 1683-1689 (2011) - [c22]Tetsuji Ogawa, Hideitsu Hino
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP 2011: 2204-2207 - [c21]Nobuaki Tanaka, Tetsuji Ogawa, Tetsunori Kobayashi:
Spatial Filter Calibration Based on Minimization of Modified LSD. INTERSPEECH 2011: 1761-1764 - [c20]Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi:
Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. INTERSPEECH 2011: 2741-2744 - [c19]Naohiro Tawara, Shinji Watanabe, Tetsuji Ogawa, Tetsunori Kobayashi:
Speaker Clustering Based on Utterance-Oriented Dirichlet Process Mixture Model. INTERSPEECH 2011: 2905-2908 - 2010
- [j7]Tetsuji Ogawa, Shintaro Takada, Kenzo Akagiri, Tetsunori Kobayashi:
Speech Enhancement Using a Square Microphone Array in the Presence of Directional and Diffuse Noise. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(5): 926-935 (2010) - [c18]Satoshi Tamura, Chiyomi Miyajima, Norihide Kitaoka, Takeshi Yamada, Satoru Tsuge, Tetsuya Takiguchi, Kazumasa Yamamoto, Takanobu Nishiura, Masato Nakayama, Yuki Denda, Masakiyo Fujimoto, Shigeki Matsuda, Tetsuji Ogawa, Shingo Kuroiwa, Kazuya Takeda, Satoshi Nakamura:
CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition. AVSP 2010: 6 - [c17]Nobuaki Tanaka, Tetsuji Ogawa, Kenzo Akagiri, Tetsunori Kobayashi:
Development of zonal beamformer and its application to robot audition. EUSIPCO 2010: 1529-1533
2000 – 2009
- 2009
- [j6]Tetsuji Ogawa, Tetsunori Kobayashi:
Influence of Lombard Effect: Accuracy Analysis of Simulation-Based Assessments of Noisy Speech Recognition Systems for Various Recognition Conditions. IEICE Trans. Inf. Syst. 92-D(11): 2244-2252 (2009) - [c16]Tetsuji Ogawa, Kosuke Hosoya, Kenzo Akagiri, Tetsunori Kobayashi:
Direction-of-arrival estimation under noisy condition using four-line omni-directional microphones mounted on a robot head. EUSIPCO 2009: 879-883 - [c15]Kosuke Hosoya, Tetsuji Ogawa
Robot auditory system using head-mounted square microphone array. IROS 2009: 2736-2741 - 2008
- [j5]Naoya Mochiki, Tetsuji Ogawa, Tetsunori Kobayashi:
Ears of the Robot: Direction of Arrival Estimation Based on Pattern Recognition Using Robot-Mounted Microphones. IEICE Trans. Inf. Syst. 91-D(5): 1522-1530 (2008) - [c14]Tetsuji Ogawa, Hirofumi Takeuchi, Shintaro Takada, Kenzo Akagiri, Tetsunori Kobayashi:
Ears of the robot: Noise reduction using four-line ultra-micro omni-directional microphones mounted on a robot head. EUSIPCO 2008: 1-5 - [c13]Shintaro Takada, Tetsuji Ogawa, Kenzo Akagiri, Tetsunori Kobayashi:
Speech enhancement using square microphone array for mobile devices. ICASSP 2008: 313-316 - [c12]Tomoki Hiramatsu, Tetsuji Ogawa, Miki Haseyama:
A Kalman filter based restoration method for in-vehicle camera images in foggy conditions. ICASSP 2008: 1245-1248 - [c11]Tetsuji Ogawa, Miki Haseyama:
Kernel PCA-based resolution enhancement approach of still images using different levels of pyramid structure. ICASSP 2008: 1293-1296 - [c10]Masato Nakayama, Takanobu Nishiura, Yuki Denda, Norihide Kitaoka, Kazumasa Yamamoto, Takeshi Yamada, Satoru Tsuge, Chiyomi Miyajima, Masakiyo Fujimoto, Tetsuya Takiguchi, Satoshi Tamura, Tetsuji Ogawa, Shigeki Matsuda, Shingo Kuroiwa, Kazuya Takeda, Satoshi Nakamura:
CENSREC-4: development of evaluation framework for distant-talking speech recognition under reverberant environments. INTERSPEECH 2008: 968-971 - 2007
- [j4]Naoya Mochiki, Tetsuji Ogawa, Tetsunori Kobayashi:
Ears of the Robot: Three Simultaneous Speech Segregation and Recognition Using Robot-Mounted Microphones. IEICE Trans. Inf. Syst. 90-D(9): 1465-1468 (2007) - [c9]Tetsuji Ogawa, Satoshi Kanba, Tetsunori Kobayashi:
Adequacy Analysis of Simulation-Based Assessment of Speech Recognition System. ICASSP (4) 2007: 1153-1156 - 2006
- [j3]Tetsuji Ogawa, Tetsunori Kobayashi:
Genetic Algorithm Based Optimization of Partly-Hidden Markov Model Structure Using Discriminative Criterion. IEICE Trans. Inf. Syst. 89-D(3): 939-945 (2006) - [c8]Takashi Isa, Toshiyuki Sekiya, Tetsuji Ogawa, Tetsunori Kobayashi:
Source separation using multiple directivity patterns produced by ICA-based BSS. EUSIPCO 2006: 1-5 - [c7]Takashi Isa, Toshiyuki Sekiya, Tetsuji Ogawa, Tetsunori Kobayashi:
A method for solving the permutation problem of frequency-domain BSS using reference signal. EUSIPCO 2006: 1-5 - [c6]Toshiaki Kubo, Tetsuji Ogawa, Tetsunori Kobayashi:
Manifold HLDA and its application to robust speech recognition. INTERSPEECH 2006 - 2005
- [j2]Yosuke Sato, Tetsuji Ogawa, Tetsunori Kobayashi:
Extension of Hidden Markov Models for Multiple Candidates and Its Application to Gesture Recognition. IEICE Trans. Inf. Syst. 88-D(6): 1239-1247 (2005) - [j1]Tetsuji Ogawa, Tetsunori Kobayashi:
An extension of the state-observation dependency in partly hidden Markov models and its application to continuous speech recognition. Syst. Comput. Jpn. 36(8): 31-39 (2005) - [c5]Tetsuji Ogawa, Tetsunori Kobayashi:
Optimizing the structure of partly-hidden Markov models using weighted likelihood-ratio maximization criterion. INTERSPEECH 2005: 3353-3356 - 2004
- [c4]Naoya Mochiki, Tetsunori Kobayashi, Toshiyuki Sekiya, Tetsuji Ogawa:
Recognition of three simultaneous utterance of speech by four-line directivity microphone mounted on head of robot. INTERSPEECH 2004: 821-824 - 2003
- [c3]Tetsuji Ogawa, Tetsunori Kobayashi:
Hybrid modeling of PHMM and HMM for speech recognition. ICASSP (1) 2003: 140-143 - [c2]Toshiyuki Sekiya, Tetsuji Ogawa, Tetsunori Kobayashi:
Speech recognition of double talk using SAFIA-based audio segregation. INTERSPEECH 2003: 1285-1288 - 2002
- [c1]Tetsuji Ogawa, Tetsunori Kobayashi:
Generalization of state-observation-dependency in partly hidden Markov models. INTERSPEECH 2002: 2673-2676
Coauthor Index
[j13] [c89] [c88] [c84] [c83] [c81] [i15] [i14] [i13] [j12] [c76] [c75] [c73] [c70] [i11] [i10] [i9] [i8] [c68] [c67] [c65] [c63] [c62] [i6] [i5] [c61] [c60] [c59] [c58] [c57] [c52] [c51] [i3] [i2] [i1] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [c40] [j10] [c39] [c38] [c37] [c34] [c33] [c31] [c29] [c26] [c25] [c23] [j8] [c22] [c21] [c20] [c19] [j7] [c17] [j6] [c16] [c15] [j5] [c14] [c13] [j4] [c9] [j3] [c8] [c7] [c6] [j2] [j1] [c5] [c4] [c3] [c2] [c1]
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