Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments. - Masahito Togami; Yohei Kawaguchi; Hiroaki Kokubo; Yasunari Obuchi (EUSIPCO, 2009)

Subband nonstationary noise reduction based on multichannel spatial prediction under reverberant environments. - Masahito Togami; Yohei Kawaguchi; Yasunari Obuchi (ICASSP, 2009)

Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments. - Yohei Kawaguchi; Masahito Togami (EUSIPCO, 2010)

A two-stage multichannel acoustic noise reduction under reverberant environments. - Masahito Togami; Yohei Kawaguchi (EUSIPCO, 2010)

Beamforming array technique with clustered multichannel noise covariance matrix for mechanical noise reduction. - Masahito Togami; Takashi Sumiyoshi; Yasunari Obuchi; Yohei Kawaguchi; Hiroaki Kokubo (EUSIPCO, 2010)

Head orientation estimation of a speaker by utilizing kurtosis of a DOA histogram with restoration of distance effect. - Masahito Togami; Yohei Kawaguchi (ICASSP, 2010)

Turn taking-based conversation detection by using DOA estimation. - Yohei Kawaguchi; Masahito Togami; Yasunari Obuchi (INTERSPEECH, 2010)

Conversation clustering based on PLCA using within-cluster sparsity constraints. - Yohei Kawaguchi; Masahito Togami (EUSIPCO, 2012)

Mass spectra separation for explosives detection by using probabilistic latent component analysis. - Yohei Kawaguchi; Masahito Togami; Hisashi Nagano; Yuichiro Hashimoto; Masuyuki Sugiyama; Yasuaki Takada (ICASSP, 2012)

Multichannel speech dereverberation and separation with optimized combination of linear and non-linear filtering. - Masahito Togami; Yohei Kawaguchi; Ryu Takeda; Yasunari Obuchi; Nobuo Nukaga (ICASSP, 2012)

Online mvbf adaptation under diffuse noise environments with mimo based noise pre-filtering. - Masahito Togami; Yohei Kawaguchi; Nobuo Nukaga; Yasunari Obuchi (ISSPA, 2012)

Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems. - Masahito Togami; Yohei Kawaguchi (SSP, 2012)

Mass spectra separation for explosives detection by using PLCA with an attenuation model. - Yohei Kawaguchi; Masahito Togami; Hisashi Nagano; Yuichiro Hashimoto; Masuyuki Sugiyama; Yasuaki Takada (EUSIPCO, 2013)

ICA-based acceleration of probabilistic latent component analysis for mass spectrometry-based explosives detection. - Yohei Kawaguchi; Masahito Togami; Hisashi Nagano; Yuichiro Hashimoto; Masuyuki Sugiyama; Yasuaki Takada (ICASSP, 2013)

Noise robust speech dereverberation with Kalman smoother. - Masahito Togami; Yohei Kawaguchi (ICASSP, 2013)

Multichannel Two-Stage Beamforming with Unconstrained Beamformer and Distortion Reduction. - Masahito Togami; Yohei Kawaguchi; Yasunari Obuchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function. - Masahito Togami; Yohei Kawaguchi; Ryu Takeda; Yasunari Obuchi; Nobuo Nukaga (IEEE Trans. Speech Audio Process., 2013)

Information-based pool size control of Boolean compressive sensing for adaptive group testing. - Yohei Kawaguchi; Tatsuhiko Osa; Shubhranshu Barnwal; Hisashi Nagano; Masahito Togami (EUSIPCO, 2014)

Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix. - Masahito Togami; Yohei Kawaguchi; Ryoichi Takashima (ICASSP, 2014)

Simultaneous Optimization of Acoustic Echo Reduction, Speech Dereverberation, and Noise Reduction against Mutual Interference. - Masahito Togami; Yohei Kawaguchi (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. - Yusuke Fujita; Ryoichi Takashima; Takeshi Homma; Rintaro Ikeshita; Yohei Kawaguchi; Takashi Sumiyoshi; Takashi Endo; Masahito Togami (ASRU, 2015)

Improvement of robustness to change of positive elements in boolean compressive sensing. - Yohei Kawaguchi; Tatsuhiko Osa; Hisashi Nagano; Masahito Togami (EUSIPCO, 2015)

Separation of Mass Spectra Based on Probabilistic Latent Component Analysis for Explosives Detection. - Yohei Kawaguchi; Masahito Togami; Hisashi Nagano; Yuichiro Hashimoto; Masuyuki Sugiyama; Yasuaki Takada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Mass Spectra Separation for Explosives Detection by Using an Attenuation Model. - Yohei Kawaguchi; Masahito Togami; Hisashi Nagano; Yuichiro Hashimoto; Masuyuki Sugiyama; Yasuaki Takada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Adaptive boolean compressive sensing by sequential pool-design. - Yohei Kawaguchi; Masahito Togami (APSIPA, 2016)

Adaptive Boolean compressive sensing by using multi-armed bandit. - Yohei Kawaguchi; Masahito Togami (ICASSP, 2016)

Sub-Nyquist non-uniform sampling for low-cost sound monitoring. - Yohei Kawaguchi; Sandra Ramaswami; Ryoichi Takashima; Takashi Endo; Rintaro Ikeshita (APSIPA, 2017)

Time-domain subsampling and reconstruction for microphone array. - Yohei Kawaguchi; Ryoichi Takashima; Takashi Endo; Masahito Togami (APSIPA, 2017)

An application of noise-robust speech translation using asynchronous smart devices. - Ryoichi Takashima; Yohei Kawaguchi; Qinghua Sun; Takashi Sumiyoshi; Masahito Togami (APSIPA, 2017)

Independent vector analysis with frequency range division and prior switching. - Rintaro Ikeshita; Yohei Kawaguchi; Masahito Togami; Yusuke Fujita; Kenji Nagamatsu (EUSIPCO, 2017)

ADMM-based audio reconstruction for low-cost-sound-monitoring. - Sandra Ramaswami; Yohei Kawaguchi; Ryoichi Takashima; Takashi Endo; Masahito Togami (EUSIPCO, 2017)

Separation of vibration-derived sound signals based on fusion processing of vibration sensors and microphones. - Ryoichi Takashima; Yohei Kawaguchi; Masahito Togami (EUSIPCO, 2017)

Local Gaussian model with source-set constraints in audio source separation. - Rintaro Ikeshita; Masahito Togami; Yohei Kawaguchi; Yusuke Fujita; Kenji Nagamatsu (MLSP, 2017)

How can we detect anomalies from subsampled audio signals? - Yohei Kawaguchi; Takashi Endo (MLSP, 2017)

Anomaly Detection Based on Feature Reconstruction from Subsampled Audio Signals. - Yohei Kawaguchi (EUSIPCO, 2018)

Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution. - Rintaro Ikeshita; Yohei Kawaguchi (ICASSP, 2018)

Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates. - Rintaro Ikeshita; Yohei Kawaguchi; Kenji Nagamatsu (IWAENC, 2018)

Non-Negative Novelty Extraction: A New Non-Negativity Constraint for NMF. - Yohei Kawaguchi; Takashi Endo; Kenji Ichige; Koichi Hamada (IWAENC, 2018)

Location-Independent Multi-Channel Acoustic Scene Classification Using Blind Dereverberation, Blind Source Separation, and Model Ensemble. - Ryo Tanabe; Takashi Endo; Yuki Nikaido; Kenji Ichige; Nguyen Phong; Yohei Kawaguchi; Koichi Hamada (APSIPA, 2019)

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. - Harsh Purohit; Ryo Tanabe; Takeshi Ichige; Takashi Endo; Yuki Nikaido; Kaori Suefusa; Yohei Kawaguchi (DCASE, 2019)

Anomaly Detection Based on an Ensemble of Dereverberation and Anomalous Sound Extraction. - Yohei Kawaguchi; Ryo Tanabe; Takashi Endo; Kenji Ichige; Koichi Hamada (ICASSP, 2019)

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. - Harsh Purohit; Ryo Tanabe; Kenji Ichige; Takashi Endo; Yuki Nikaido; Kaori Suefusa; Yohei Kawaguchi (CoRR, 2019)

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Yuma Koizumi; Yohei Kawaguchi; Keisuke Imoto; Toshiki Nakamura; Yuki Nikaido; Ryo Tanabe; Harsh Purohit; Kaori Suefusa; Takashi Endo; Masahiro Yasuda; Noboru Harada (DCASE, 2020)

Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization. - Harsh Purohit; Ryo Tanabe; Takashi Endo; Kaori Suefusa; Yuki Nikaido; Yohei Kawaguchi (DCASE, 2020)

Anomalous Sound Detection Based on Interpolation Deep Neural Network. - Kaori Suefusa; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Yohei Kawaguchi (ICASSP, 2020)

Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors. - Shota Horiguchi; Shinji Watanabe 001; Paola García 001; Yawen Xue; Yuki Takashima; Yohei Kawaguchi (ASRU, 2021)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (DCASE, 2021)

Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection. - Kota Dohi; Takashi Endo; Harsh Purohit; Ryo Tanabe; Yohei Kawaguchi (ICASSP, 2021)

MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions. - Ryo Tanabe; Harsh Purohit; Kota Dohi; Takashi Endo; Yuki Nikaido; Toshiki Nakamura; Yohei Kawaguchi (WASPAA, 2021)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (CoRR, 2021)

Environmental Sound Extraction Using Onomatopoeia. - Yuki Okamoto; Shota Horiguchi; Masaaki Yamamoto; Keisuke Imoto; Yohei Kawaguchi (CoRR, 2021)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (DCASE, 2022)

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yuki Nikaido; Yohei Kawaguchi (DCASE, 2022)

Disentangling physical parameters for anomalous sound detection under domain shifts. - Kota Dohi; Takashi Endo; Yohei Kawaguchi (EUSIPCO, 2022)

Anomalous Sound Detection Based on Machine Activity Detection. - Tomoya Nishida; Kota Dohi; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (EUSIPCO, 2022)

Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. - Harsh Purohit; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (EUSIPCO, 2022)

Multi-Channel End-To-End Neural Diarization with Distributed Microphones. - Shota Horiguchi; Yuki Takashima; Paola García 001; Shinji Watanabe 001; Yohei Kawaguchi (ICASSP, 2022)

Environmental Sound Extraction Using Onomatopoeic Words. - Yuki Okamoto; Shota Horiguchi; Masaaki Yamamoto; Keisuke Imoto; Yohei Kawaguchi (ICASSP, 2022)

Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models. - Yuki Takashima; Shota Horiguchi; Shinji Watanabe 001; Leibny Paola García-Perera; Yohei Kawaguchi (INTERSPEECH, 2022)

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yuki Nikaido; Yohei Kawaguchi (CoRR, 2022)

Online Neural Diarization of Unlimited Numbers of Speakers. - Shota Horiguchi; Shinji Watanabe 001; Paola García 001; Yuki Takashima; Yohei Kawaguchi (CoRR, 2022)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (CoRR, 2022)

Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection. - Tomoya Nishida; Takashi Endo; Yohei Kawaguchi (ICASSP, 2023)

CAPTDURE: Captioned Sound Dataset of Single Sources. - Yuki Okamoto; Kanta Shimonishi; Keisuke Imoto; Kota Dohi; Shota Horiguchi; Yohei Kawaguchi (INTERSPEECH, 2023)

Anomalous Sound Detection Based on Sound Separation. - Kanta Shimonishi; Kota Dohi; Yohei Kawaguchi (INTERSPEECH, 2023)

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Yohei Kawaguchi (CoRR, 2023)

Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors. - Shota Horiguchi; Shinji Watanabe 001; Paola García 001; Yuki Takashima; Yohei Kawaguchi (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition? - Ryotaro Nagase; Takashi Sumiyoshi; Natsuo Yamashita; Kota Dohi; Yohei Kawaguchi (APSIPA, 2024)

Distributed Collaborative Anomalous Sound Detection by Embedding Sharing. - Kota Dohi; Yohei Kawaguchi (EUSIPCO, 2024)

Streaming Active Learning for Regression Problems Using Regression via Classification. - Shota Horiguchi; Kota Dohi; Yohei Kawaguchi (ICASSP, 2024)

Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring. - Tuan Vu Ho; Kota Dohi; Yohei Kawaguchi (INTERSPEECH, 2024)

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Tomoya Nishida; Noboru Harada; Daisuke Niizumi; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System. - Harsh Purohit; Tomoya Nishida; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

End-to-End Integration of Speech Emotion Recognition with Voice Activity Detection using Self-Supervised Learning Features. - Natsuo Yamashita; Masaaki Yamamoto; Yohei Kawaguchi (CoRR, 2024)

Timbre Difference Capturing in Anomalous Sound Detection. - Tomoya Nishida; Harsh Purohit; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2024)

Retrieval-Augmented Approach for Unsupervised Anomalous Sound Detection and Captioning without Model Training. - Ryoya Ogura; Tomoya Nishida; Yohei Kawaguchi (CoRR, 2024)

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision. - Aoi Ito; Kota Dohi; Yohei Kawaguchi (CoRR, 2024)

Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data. - Kota Dohi; Aoi Ito; Harsh Purohit; Tomoya Nishida; Takashi Endo; Yohei Kawaguchi (ICASSP, 2025)

Retrieving Time-Series Differences Using Natural Language Queries. - Kota Dohi; Tomoya Nishida; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)

LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context. - Natsuo Yamashita; Masaaki Yamamoto; Hiroaki Kokubo; Yohei Kawaguchi (CoRR, 2025)

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Tomoya Nishida; Noboru Harada; Daisuke Niizumi; Davide Albertini; Roberto Sannino; Simone Pradolini; Filippo Augusti; Keisuke Imoto; Kota Dohi; Harsh Purohit; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)

MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection. - Harsh Purohit; Tomoya Nishida; Kota Dohi; Takashi Endo; Yohei Kawaguchi (CoRR, 2025)

Model-free Speculative Decoding for Transformer-based ASR with Token Map Drafting. - Tuan Vu Ho; Hiroaki Kokubo; Masaaki Yamamoto; Yohei Kawaguchi (CoRR, 2025)