Generalization of state-observation-dependency in partly hidden Markov models. - Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2002)

Hybrid modeling of PHMM and HMM for speech recognition. - Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP (1), 2003)

Speech recognition of double talk using SAFIA-based audio segregation. - Toshiyuki Sekiya; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2003)

Recognition of three simultaneous utterance of speech by four-line directivity microphone mounted on head of robot. - Naoya Mochiki; Tetsunori Kobayashi; Toshiyuki Sekiya; Tetsuji Ogawa (INTERSPEECH, 2004)

Optimizing the structure of partly-hidden Markov models using weighted likelihood-ratio maximization criterion. - Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2005)

Extension of Hidden Markov Models for Multiple Candidates and Its Application to Gesture Recognition. - Yosuke Sato; Tetsuji Ogawa; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2005)

An extension of the state-observation dependency in partly hidden Markov models and its application to continuous speech recognition. - Tetsuji Ogawa; Tetsunori Kobayashi (Syst. Comput. Jpn., 2005)

Source separation using multiple directivity patterns produced by ICA-based BSS. - Takashi Isa; Toshiyuki Sekiya; Tetsuji Ogawa; Tetsunori Kobayashi (EUSIPCO, 2006)

A method for solving the permutation problem of frequency-domain BSS using reference signal. - Takashi Isa; Toshiyuki Sekiya; Tetsuji Ogawa; Tetsunori Kobayashi (EUSIPCO, 2006)

Manifold HLDA and its application to robust speech recognition. - Toshiaki Kubo; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2006)

Genetic Algorithm Based Optimization of Partly-Hidden Markov Model Structure Using Discriminative Criterion. - Tetsuji Ogawa; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2006)

Adequacy Analysis of Simulation-Based Assessment of Speech Recognition System. - Tetsuji Ogawa; Satoshi Kanba; Tetsunori Kobayashi (ICASSP (4), 2007)

Ears of the Robot: Three Simultaneous Speech Segregation and Recognition Using Robot-Mounted Microphones. - Naoya Mochiki; Tetsuji Ogawa; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2007)

Ears of the robot: Noise reduction using four-line ultra-micro omni-directional microphones mounted on a robot head. - Tetsuji Ogawa; Hirofumi Takeuchi; Shintaro Takada; Kenzo Akagiri; Tetsunori Kobayashi (EUSIPCO, 2008)

A Kalman filter based restoration method for in-vehicle camera images in foggy conditions. - Tomoki Hiramatsu; Tetsuji Ogawa; Miki Haseyama (ICASSP, 2008)

Kernel PCA-based resolution enhancement approach of still images using different levels of pyramid structure. - Tetsuji Ogawa; Miki Haseyama (ICASSP, 2008)

Speech enhancement using square microphone array for mobile devices. - Shintaro Takada; Tetsuji Ogawa; Kenzo Akagiri; Tetsunori Kobayashi (ICASSP, 2008)

CENSREC-4: development of evaluation framework for distant-talking speech recognition under reverberant environments. - Masato Nakayama; Takanobu Nishiura; Yuki Denda; Norihide Kitaoka; Kazumasa Yamamoto; Takeshi Yamada; Satoru Tsuge; Chiyomi Miyajima; Masakiyo Fujimoto; Tetsuya Takiguchi; Satoshi Tamura; Tetsuji Ogawa; et al. (INTERSPEECH, 2008)

Ears of the Robot: Direction of Arrival Estimation Based on Pattern Recognition Using Robot-Mounted Microphones. - Naoya Mochiki; Tetsuji Ogawa; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2008)

Direction-of-arrival estimation under noisy condition using four-line omni-directional microphones mounted on a robot head. - Tetsuji Ogawa; Kosuke Hosoya; Kenzo Akagiri; Tetsunori Kobayashi (EUSIPCO, 2009)

Robot auditory system using head-mounted square microphone array. - Kosuke Hosoya; Tetsuji Ogawa; Tetsunori Kobayashi (IROS, 2009)

Influence of Lombard Effect: Accuracy Analysis of Simulation-Based Assessments of Noisy Speech Recognition Systems for Various Recognition Conditions. - Tetsuji Ogawa; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2009)

CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition. - Satoshi Tamura; Chiyomi Miyajima; Norihide Kitaoka; Takeshi Yamada; Satoru Tsuge; Tetsuya Takiguchi; Kazumasa Yamamoto; Takanobu Nishiura; Masato Nakayama; Yuki Denda; Masakiyo Fujimoto; Shigeki Matsuda; et al. (AVSP, 2010)

Development of zonal beamformer and its application to robot audition. - Nobuaki Tanaka; Tetsuji Ogawa; Kenzo Akagiri; Tetsunori Kobayashi (EUSIPCO, 2010)

Speech Enhancement Using a Square Microphone Array in the Presence of Directional and Diffuse Noise. - Tetsuji Ogawa; Shintaro Takada; Kenzo Akagiri; Tetsunori Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Speaker recognition using multiple kernel learning based on conditional entropy minimization. - Tetsuji Ogawa; Hideitsu Hino; Nima Reyhani; Noboru Murata; Tetsunori Kobayashi (ICASSP, 2011)

Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. - Tetsuji Ogawa; Hideitsu Hino; Noboru Murata; Tetsunori Kobayashi (INTERSPEECH, 2011)

Spatial Filter Calibration Based on Minimization of Modified LSD. - Nobuaki Tanaka; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2011)

Speaker Clustering Based on Utterance-Oriented Dirichlet Process Mixture Model. - Naohiro Tawara; Shinji Watanabe 001; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2011)

Class-Distance-Based Discriminant Analysis and Its Application to Supervised Automatic Age Estimation. - Tetsuji Ogawa; Kazuya Ueki; Tetsunori Kobayashi (IEICE Trans. Inf. Syst., 2011)

Fully Bayesian inference of multi-mixture Gaussian model and its evaluation using speaker clustering. - Naohiro Tawara; Tetsuji Ogawa; Shinji Watanabe 001; Tetsunori Kobayashi (ICASSP, 2012)

An improved entropy-based multiple kernel learning. - Hideitsu Hino; Tetsuji Ogawa (ICPR, 2012)

Fully Bayesian speaker clustering based on hierarchically structured utterance-oriented Dirichlet process mixture model. - Naohiro Tawara; Tetsuji Ogawa; Shinji Watanabe 001; Atsushi Nakamura; Tetsunori Kobayashi (INTERSPEECH, 2012)

Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. - Hideitsu Hino; Tetsuji Ogawa (ACPR, 2013)

Stream selection and integration in multistream ASR using GMM-based performance monitoring. - Tetsuji Ogawa; Feipeng Li; Hynek Hermansky (INTERSPEECH, 2013)

Blocked Gibbs sampling based multi-scale mixture model for speaker clustering on noisy data. - Naohiro Tawara; Tetsuji Ogawa; Shinji Watanabe 001; Atsushi Nakamura; Tetsunori Kobayashi (MLSP, 2013)

Effect of frequency weighting on MLP-based speaker canonicalization. - Yuichi Kubota; Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi; Tsuneo Nitta (INTERSPEECH, 2014)

Uncertainty estimation of DNN classifiers. - Sri Harish Reddy Mallidi; Tetsuji Ogawa; Hynek Hermansky (ASRU, 2015)

Separation matrix optimization using associative memory model for blind source separation. - Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi; Masaru Fujieda; Kazuhiro Katagiri (EUSIPCO, 2015)

Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop. - Hynek Hermansky; Lukás Burget; Jordan Cohen; Emmanuel Dupoux; Naomi Feldman; John Godfrey; Sanjeev Khudanpur; Matthew Maciejewski; Sri Harish Reddy Mallidi; Anjali Menon; Tetsuji Ogawa; Vijayaditya Peddinti; et al. (ICASSP, 2015)

A comparative study of spectral clustering for i-vector-based speaker clustering under noisy conditions. - Naohiro Tawara; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2015)

Autoencoder based multi-stream combination for noise robust speech recognition. - Sri Harish Reddy Mallidi; Tetsuji Ogawa; Karel Veselý; Phani S. Nidadavolu; Hynek Hermansky (INTERSPEECH, 2015)

Bilinear map of filter-bank outputs for DNN-based speech recognition. - Tetsuji Ogawa; Kenshiro Ueda; Kouichi Katsurada; Tetsunori Kobayashi; Tsuneo Nitta (INTERSPEECH, 2015)

Video semantic indexing using object detection-derived features. - Kotaro Kikuchi; Kazuya Ueki; Tetsuji Ogawa; Tetsunori Kobayashi (EUSIPCO, 2016)

A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. - Tetsuji Ogawa; Sri Harish Reddy Mallidi; Emmanuel Dupoux; Jordan Cohen; Naomi H. Feldman; Hynek Hermansky (ICPR, 2016)

Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. - Hiroto Ashikawa; Naohiro Tawara; Atsunori Ogawa; Tomoharu Iwata; Tetsunori Kobayashi; Tetsuji Ogawa (APSIPA, 2017)

Waseda_Meisei at TRECVID 2017: Ad-hoc Video Search. - Kazuya Ueki; Koji Hirakawa; Kotaro Kikuchi; Tetsuji Ogawa; Tetsunori Kobayashi (TRECVID, 2017)

Associative Memory Model-Based Linear Filtering and Its Application to Tandem Connectionist Blind Source Separation. - Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Real-Time Large-Scale Map Matching Using Mobile Phone Data. - Essam Algizawy; Tetsuji Ogawa; Ahmed El-Mahdy 002 (ACM Trans. Knowl. Discov. Data, 2017)

Adversarial autoencoder for reducing nonlinear distortion. - Naohiro Tawara; Tetsunori Kobayashi; Masaru Fujieda; Kazuhiro Katagiri; Takashi Yazu; Tetsuji Ogawa (APSIPA, 2018)

Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. - Tsuyoshi Morioka; Naohiro Tawara; Tetsuji Ogawa; Atsunori Ogawa; Tomoharu Iwata; Tetsunori Kobayashi (ICASSP, 2018)

Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning. - Taira Tsuchiya; Naohiro Tawara; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2018)

Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning. - Takanori Hasegawa; Jun Ogata; Masahiro Murakawa; Tetsuji Ogawa (ICPHM, 2018)

Sequential Fish Catch Forecasting Using Bayesian State Space Models. - Yuya Kokaki; Naohiro Tawara; Tetsunori Kobayashi; Kazuo Hashimoto; Tetsuji Ogawa (ICPR, 2018)

Waseda_Meisei at TRECVID 2018: Ad-hoc Video Search. - Kazuya Ueki; Yu Nakagome; Koji Hirakawa; Kotaro Kikuchi; Yoshihiko Hayashi; Tetsuji Ogawa; Tetsunori Kobayashi (TRECVID, 2018)

Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training. - Naohiro Tawara; Hikari Tanabe; Tetsunori Kobayashi; Masaru Fujieda; Kazuhiro Katagiri; Takashi Yazu; Tetsuji Ogawa (ICASSP, 2019)

Visual explanation of neural network based rotation machinery anomaly detection system. - Mao Saeki; Jun Ogata; Masahiro Murakawa; Tetsuji Ogawa (ICPHM, 2019)

Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages. - Yosuke Higuchi; Naohiro Tawara; Tetsunori Kobayashi; Tetsuji Ogawa (INTERSPEECH, 2019)

Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder. - Naohiro Tawara; Tetsunori Kobayashi; Tetsuji Ogawa (INTERSPEECH, 2019)

SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders. - Hiroaki Tsuyuki; Tetsuji Ogawa; Tetsunori Kobayashi; Yoshihiko Hayashi (PACLING, 2019)

Efficient Human-In-The-Loop Object Detection using Bi-Directional Deep SORT and Annotation-Free Segment Identification. - Koki Madono; Teppei Nakano; Tetsunori Kobayashi; Tetsuji Ogawa (APSIPA, 2020)

Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification. - Hikari Tanabe; Tetsuji Ogawa; Tetsunori Kobayashi; Yoshihiko Hayashi (COLING, 2020)

Investigation of Network Architecture for Single-Channel End-to-End Denoising. - Takuya Hasumi; Tetsunori Kobayashi; Tetsuji Ogawa (EUSIPCO, 2020)

Noise-robust Attention Learning for End-to-End Speech Recognition. - Yosuke Higuchi; Naohiro Tawara; Atsunori Ogawa; Tomoharu Iwata; Tetsunori Kobayashi; Tetsuji Ogawa (EUSIPCO, 2020)

Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor. - Yu Nakagome; Masahito Togami; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2020)

Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. - Naohiro Tawara; Atsunori Ogawa; Tomoharu Iwata; Marc Delcroix; Tetsuji Ogawa (ICASSP, 2020)

Feature Representation Learning for Calving Detection of Cows Using Video Frames. - Ryosuke Hyodo; Teppei Nakano; Tetsuji Ogawa (ICPR, 2020)

Toward Building a Data-Driven System For Detecting Mounting Actions of Black Beef Cattle. - Yuriko Kawano; Susumu Saito; Teppei Nakano; Ikumi Kondo; Ryota Yamazaki; Hiromi Kusaka; Minoru Sakaguchi; Tetsuji Ogawa (ICPR, 2020)

Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage. - Yusuke Okimoto; Soshi Kawata; Susumu Saito; Teppei Nakano; Tetsuji Ogawa (ICPR, 2020)

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. - Yosuke Higuchi; Shinji Watanabe 001; Nanxin Chen; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2020)

Mentoring-Reverse Mentoring for Unsupervised Multi-Channel Speech Source Separation. - Yu Nakagome; Masahito Togami; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2020)

Block-wise Scrambled Image Recognition Using Adaptation Network. - Koki Madono; Masayuki Tanaka 001; Masaki Onishi; Tetsuji Ogawa (CoRR, 2020)

Exploring Effectiveness of Inter-Microtask Qualification Tests in Crowdsourcing. - Masaya Morinaga; Susumu Saito; Teppei Nakano; Tetsunori Kobayashi; Tetsuji Ogawa (CoRR, 2020)

Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources. - Kohei Saijo; Kazuhiro Katagiri; Masaru Fujieda; Tetsunori Kobayashi; Tetsuji Ogawa (APSIPA ASC, 2021)

An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR. - Huaibo Zhao; Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (APSIPA ASC, 2021)

Scrambling Parameter Generation to Improve Perceptual Information Hiding. - Koki Madono; Masayuki Tanaka 001; Masaki Onishi; Tetsuji Ogawa (HVEI, 2021)

Improved Mask-CTC for Non-Autoregressive End-to-End ASR. - Yosuke Higuchi; Hirofumi Inaguma; Shinji Watanabe 001; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2021)

Efficient and Stable Adversarial Learning Using Unpaired Data for Unsupervised Multichannel Speech Separation. - Yu Nakagome; Masahito Togami; Tetsuji Ogawa; Tetsunori Kobayashi (Interspeech, 2021)

VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification. - Susumu Saito; Yuta Ide; Teppei Nakano; Tetsuji Ogawa (Interspeech, 2021)

Analysis of Multimodal Features for Speaking Proficiency Scoring in an Interview Dialogue. - Mao Saeki; Yoichi Matsuyama; Satoshi Kobashikawa; Tetsuji Ogawa; Tetsunori Kobayashi (SLT, 2021)

SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network. - Koki Madono; Masayuki Tanaka 001; Masaki Onishi; Tetsuji Ogawa (IEEE Access, 2021)

PostMe: Unsupervised Dynamic Microtask Posting For Efficient and Reliable Crowdsourcing. - Ryo Yanagisawa; Susumu Saito; Teppei Nakano; Tetsunori Kobayashi; Tetsuji Ogawa (IEEE Big Data, 2022)

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model. - Yosuke Higuchi; Brian Yan; Siddhant Arora; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (EMNLP (Findings), 2022)

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units. - Yosuke Higuchi; Keita Karube; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2022)

Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation. - Kohei Saijo; Tetsuji Ogawa (ICASSP, 2022)

Can Humans Correct Errors From System? Investigating Error Tendencies in Speaker Identification Using Crowdsourcing. - Yuta Ide; Susumu Saito; Teppei Nakano; Tetsuji Ogawa (INTERSPEECH, 2022)

Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent. - Mao Saeki; Kotoka Miyagi; Shinya Fujie; Shungo Suzuki; Tetsuji Ogawa; Tetsunori Kobayashi; Yoichi Matsuyama (INTERSPEECH, 2022)

Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals. - Kohei Saijo; Tetsuji Ogawa (INTERSPEECH, 2022)

Text-Only Domain Adaptation Based on Intermediate CTC. - Hiroaki Sato; Tomoyasu Komori; Takeshi Mishima; Yoshihiko Kawai; Takahiro Mochizuki; Shoei Sato; Tetsuji Ogawa (INTERSPEECH, 2022)

Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. - Naohiro Tawara; Atsunori Ogawa; Tomoharu Iwata; Hiroto Ashikawa; Tetsunori Kobayashi; Tetsuji Ogawa (IEICE Trans. Inf. Syst., 2022)

A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. - Kohei Saijo; Wangyou Zhang; Zhong-Qiu Wang 001; Shinji Watanabe 001; Tetsunori Kobayashi; Tetsuji Ogawa (ASRU, 2023)

Spotting Parodies: Detecting Alignment Collapse Between Lyrics and Singing Voice. - Tomoki Ariga; Yosuke Higuchi; Mitsunori Kanno; Rie Shigyo; Takato Mizuguchi; Naoki Okamoto; Tetsuji Ogawa (EUSIPCO, 2023)

Voice or Content? - Exploring Impact of Speech Content on Age Estimation from Voice. - Yuta Ide; Naohiro Tawara; Susumu Saito; Teppei Nakano; Tetsuji Ogawa (EUSIPCO, 2023)

Mask-CTC-Based Encoder Pre-Training for Streaming End-to-End Speech Recognition. - Huaibo Zhao; Yosuke Higuchi; Yusuke Kida; Tetsuji Ogawa; Tetsunori Kobayashi (EUSIPCO, 2023)

Neural Diarization with Non-Autoregressive Intermediate Attractors. - Yusuke Fujita; Tatsuya Komatsu; Robin Scheibler; Yusuke Kida; Tetsuji Ogawa (ICASSP, 2023)

Intermpl: Momentum Pseudo-Labeling With Intermediate CTC Loss. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (ICASSP, 2023)

BECTRA: Transducer-Based End-To-End ASR with Bert-Enhanced Encoder. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi; Shinji Watanabe 001 (ICASSP, 2023)

Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing. - Kohei Saijo; Tetsuji Ogawa (ICASSP, 2023)

Conversation-Oriented ASR with Multi-Look-Ahead CBS Architecture. - Huaibo Zhao; Shinya Fujie; Tetsuji Ogawa; Jin Sakuma; Yusuke Kida; Tetsunori Kobayashi (ICASSP, 2023)

Masry: A Text-to-Speech System for the Egyptian Arabic. - Ahmed Hammad Azab; Ahmed Bayoumy Zaki; Tetsuji Ogawa; Walid Gomaa 001 (ICINCO (2), 2023)

Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. - Taiki Inoue; Jun Ogata; Makoto Iida; Tetsuji Ogawa (ICMLA, 2023)

Thermal Gait Dataset for Deep Learning-Oriented Gait Recognition. - Fatma Youssef; Ahmed El-Mahdy 002; Tetsuji Ogawa; Walid Gomaa 001 (IJCNN, 2023)

Remixing-based Unsupervised Source Separation from Scratch. - Kohei Saijo; Tetsuji Ogawa (INTERSPEECH, 2023)

Self-Conditioning via Intermediate Predictions for End-to-End Neural Speaker Diarization. - Yusuke Fujita; Tetsuji Ogawa; Tetsunori Kobayashi (IEEE Access, 2023)

Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle. - Ryosuke Hyodo; Susumu Saito; Teppei Nakano; Makoto Akabane; Ryoichi Kasuga; Tetsuji Ogawa (CoRR, 2023)

Deep Multi-stream Network for Video-based Calving Sign Detection. - Ryosuke Hyodo; Teppei Nakano; Tetsuji Ogawa (CoRR, 2023)

Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (CoRR, 2023)

What to Refer and How? - Exploring Handling of Auxiliary Information in Target Speaker Extraction. - Tomohiro Hayashi; Riku Ogino; Kohei Saijo; Tetsuji Ogawa (APSIPA, 2024)

Differences Between Singer and Speaker Verification: Training Singer Feature Representation Extractor Utilizing Singing Voice Characteristics. - Sayaka Toma; Tomoki Ariga; Yosuke Higuchi; Ichiju Hayasaka; Rie Shigyo; Tetsuji Ogawa (APSIPA, 2024)

Exploring Robust and Explainable Design for Facial Expression-Based Emotional State Estimation in Children with Profound Intellectual Multiple Disabilities. - Kota Mochida; Teppei Nakano; Shinya Fujie; Mari Wakabayashi; Tomomi Sato; Tetsuji Ogawa (EUSIPCO, 2024)

Normal with Occasional Anomalies: Feature Extraction for Detecting Non-Stationary Abnormal Events in Wind Turbines. - Takuya Wakayama; Taiki Inoue; Jun Ogata; Makoto Iida; Tetsuji Ogawa (EUSIPCO, 2024)

Parody Detection Using Source-Target Attention with Teacher-Forced Lyrics. - Tomoki Ariga; Yosuke Higuchi; Kazutoshi Hayasaka; Naoki Okamoto; Tetsuji Ogawa (ICASSP, 2024)

WindVibraTransformer: A Foundational Model for Precise and Robust Wind Turbine Condition Monitoring via Vibration Signals. - Takuya Wakayama; Taiki Inoue; Jun Ogata; Makoto Iida; Tetsuji Ogawa (ICMLA, 2024)

Leveraging Data from Vast Unexplored Seas: Positive Unlabeled Learning for Refining Prediction Area in Good Fishing Ground Prediction. - Haruki Konii; Teppei Nakano; Yasumasa Miyazawa; Tetsuji Ogawa (ICPR (10), 2024)

Hierarchical Multi-Task Learning with CTC and Recursive Operation. - Nahomi Kusunoki; Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2024)

Exploring Impact of Prioritizing Intra-Singer Acoustic Variations on Singer Embedding Extractor Construction for Singer Verification. - Sayaka Toma; Tomoki Ariga; Yosuke Higuchi; Ichiju Hayasaka; Rie Shigyo; Tetsuji Ogawa (O-COCOSDA, 2024)

Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model for Guiding End-to-End Speech Recognition. - Yosuke Higuchi; Tetsuji Ogawa; Tetsunori Kobayashi (ICASSP, 2025)

A Comparative Study on Positional Encoding for Time-frequency Domain Dual-path Transformer-based Source Separation Models. - Kohei Saijo; Tetsuji Ogawa (CoRR, 2025)

Speaker-Distinguishable CTC: Learning Speaker Distinction Using CTC for Multi-Talker Speech Recognition. - Asahi Sakuma; Hiroaki Sato; Ryuga Sugano; Tadashi Kumano; Yoshihiko Kawai; Tetsuji Ogawa (CoRR, 2025)