Yohei Kawaguchi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 64

Top Topics

Simultaneous Optimization

Acoustic Signal

Condition Monitoring

Anomaly Detection

Top Venues

Publications

Kota Dohi, Yohei Kawaguchi
Distributed collaborative anomalous sound detection by embedding sharing. CoRR (2024)
Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, Yohei Kawaguchi
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR (2024)
Shota Horiguchi, Kota Dohi, Yohei Kawaguchi
Streaming Active Learning for Regression Problems Using Regression via Classification. ICASSP (2024)
Kanta Shimonishi, Kota Dohi, Yohei Kawaguchi
Anomalous Sound Detection Based on Sound Separation. CoRR (2023)
Shota Horiguchi, Shinji Watanabe, Paola García, Yuki Takashima, Yohei Kawaguchi
Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR (2023)
Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi
CAPTDURE: Captioned Sound Dataset of Single Sources. CoRR (2023)
Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi
CAPTDURE: Captioned Sound Dataset of Single Sources. INTERSPEECH (2023)
Tomoya Nishida, Takashi Endo, Yohei Kawaguchi
Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection. ICASSP (2023)
Tomoya Nishida, Takashi Endo, Yohei Kawaguchi
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection. CoRR (2023)
Kanta Shimonishi, Kota Dohi, Yohei Kawaguchi
Anomalous Sound Detection Based on Sound Separation. INTERSPEECH (2023)
Shota Horiguchi, Kota Dohi, Yohei Kawaguchi
Streaming Active Learning for Regression Problems Using Regression via Classification. CoRR (2023)
Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. EUSIPCO (2022)
Shota Horiguchi, Yuki Takashima, Paola García, Shinji Watanabe, Yohei Kawaguchi
Multi-Channel End-To-End Neural Diarization with Distributed Microphones. ICASSP (2022)
Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. DCASE (2022)
Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. CoRR (2022)
Shota Horiguchi, Shinji Watanabe, Paola García, Yuki Takashima, Yohei Kawaguchi
Online Neural Diarization of Unlimited Numbers of Speakers. CoRR (2022)
Kota Dohi, Takashi Endo, Yohei Kawaguchi
Disentangling physical parameters for anomalous sound detection under domain shifts. EUSIPCO (2022)
Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. CoRR (2022)
Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Anomalous Sound Detection Based on Machine Activity Detection. CoRR (2022)
Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task. DCASE (2022)
Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi
Anomalous Sound Detection Based on Machine Activity Detection. EUSIPCO (2022)
Yuki Takashima, Shota Horiguchi, Shinji Watanabe, Leibny Paola García-Perera, Yohei Kawaguchi
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models. INTERSPEECH (2022)
Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi
Environmental Sound Extraction Using Onomatopoeic Words. ICASSP (2022)
Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task. CoRR (2022)
Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection. CoRR (2021)
Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. CoRR (2021)
Ryo Tanabe, Harsh Purohit, Kota Dohi, Takashi Endo, Yuki Nikaido, Toshiki Nakamura, Yohei Kawaguchi
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions. CoRR (2021)
Ryo Tanabe, Harsh Purohit, Kota Dohi, Takashi Endo, Yuki Nikaido, Toshiki Nakamura, Yohei Kawaguchi
MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions. WASPAA (2021)
Kota Dohi, Takashi Endo, Yohei Kawaguchi
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts. CoRR (2021)
Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi
Environmental Sound Extraction Using Onomatopoeia. CoRR (2021)
Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. DCASE (2021)
Shota Horiguchi, Shinji Watanabe, Paola García, Yawen Xue, Yuki Takashima, Yohei Kawaguchi
Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors. CoRR (2021)
Shota Horiguchi, Shinji Watanabe, Paola García, Yawen Xue, Yuki Takashima, Yohei Kawaguchi
Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors. ASRU (2021)
Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi
Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection. ICASSP (2021)
Shota Horiguchi, Yuki Takashima, Paola García, Shinji Watanabe, Yohei Kawaguchi
Multi-Channel End-to-End Neural Diarization with Distributed Microphones. CoRR (2021)
Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi
Anomalous sound detection based on interpolation deep neural network. CoRR (2020)
Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi
Anomalous Sound Detection Based on Interpolation Deep Neural Network. ICASSP (2020)
Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi
Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization. DCASE (2020)
Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi
Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization. CoRR (2020)
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR (2020)
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. DCASE (2020)
Ryo Tanabe, Takashi Endo, Yuki Nikaido, Kenji Ichige, Nguyen Phong, Yohei Kawaguchi, Koichi Hamada
Location-Independent Multi-Channel Acoustic Scene Classification Using Blind Dereverberation, Blind Source Separation, and Model Ensemble. APSIPA (2019)
Harsh Purohit, Ryo Tanabe, Takeshi Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. DCASE (2019)
Yohei Kawaguchi, Ryo Tanabe, Takashi Endo, Kenji Ichige, Koichi Hamada
Anomaly Detection Based on an Ensemble of Dereverberation and Anomalous Sound Extraction. ICASSP (2019)
Harsh Purohit, Ryo Tanabe, Kenji Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. CoRR (2019)
Yohei Kawaguchi, Takashi Endo, Kenji Ichige, Koichi Hamada
Non-Negative Novelty Extraction: A New Non-Negativity Constraint for NMF. IWAENC (2018)
Yohei Kawaguchi
Anomaly Detection Based on Feature Reconstruction from Subsampled Audio Signals. EUSIPCO (2018)
Rintaro Ikeshita, Yohei Kawaguchi
Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution. ICASSP (2018)
Rintaro Ikeshita, Yohei Kawaguchi, Kenji Nagamatsu
Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates. IWAENC (2018)
Rintaro Ikeshita, Masahito Togami, Yohei Kawaguchi, Yusuke Fujita, Kenji Nagamatsu
Local Gaussian model with source-set constraints in audio source separation. MLSP (2017)
Sandra Ramaswami, Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami
ADMM-based audio reconstruction for low-cost-sound-monitoring. EUSIPCO (2017)
Yohei Kawaguchi, Takashi Endo
How can we detect anomalies from subsampled audio signals? MLSP (2017)
Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami
Time-domain subsampling and reconstruction for microphone array. APSIPA (2017)
Rintaro Ikeshita, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, Kenji Nagamatsu
Independent vector analysis with frequency range division and prior switching. EUSIPCO (2017)
Ryoichi Takashima, Yohei Kawaguchi, Qinghua Sun, Takashi Sumiyoshi, Masahito Togami
An application of noise-robust speech translation using asynchronous smart devices. APSIPA (2017)
Ryoichi Takashima, Yohei Kawaguchi, Masahito Togami
Separation of vibration-derived sound signals based on fusion processing of vibration sensors and microphones. EUSIPCO (2017)
Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA (2017)
Yohei Kawaguchi, Masahito Togami
Adaptive boolean compressive sensing by sequential pool-design. APSIPA (2016)
Yohei Kawaguchi, Masahito Togami
Adaptive Boolean compressive sensing by using multi-armed bandit. ICASSP (2016)
Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Rintaro Ikeshita, Yohei Kawaguchi, Takashi Sumiyoshi, Takashi Endo, Masahito Togami
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. ASRU (2015)
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada
Separation of Mass Spectra Based on Probabilistic Latent Component Analysis for Explosives Detection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2015)
Yohei Kawaguchi, Tatsuhiko Osa, Hisashi Nagano, Masahito Togami
Improvement of robustness to change of positive elements in boolean compressive sensing. EUSIPCO (2015)
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada
Mass Spectra Separation for Explosives Detection by Using an Attenuation Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2015)
Masahito Togami, Yohei Kawaguchi, Ryoichi Takashima
Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix. ICASSP (2014)
Yohei Kawaguchi, Tatsuhiko Osa, Shubhranshu Barnwal, Hisashi Nagano, Masahito Togami
Information-based pool size control of Boolean compressive sensing for adaptive group testing. EUSIPCO (2014)
Masahito Togami, Yohei Kawaguchi
Simultaneous Optimization of Acoustic Echo Reduction, Speech Dereverberation, and Noise Reduction against Mutual Interference. IEEE ACM Trans. Audio Speech Lang. Process. 22 (11) (2014)
Masahito Togami, Yohei Kawaguchi, Yasunari Obuchi
Multichannel Two-Stage Beamforming with Unconstrained Beamformer and Distortion Reduction. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2013)
Masahito Togami, Yohei Kawaguchi
Noise robust speech dereverberation with Kalman smoother. ICASSP (2013)
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada
Mass spectra separation for explosives detection by using PLCA with an attenuation model. EUSIPCO (2013)
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada
ICA-based acceleration of probabilistic latent component analysis for mass spectrometry-based explosives detection. ICASSP (2013)
Masahito Togami, Yohei Kawaguchi, Ryu Takeda, Yasunari Obuchi, Nobuo Nukaga
Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function. IEEE Trans. Speech Audio Process. 21 (7) (2013)
Yohei Kawaguchi, Masahito Togami, Hisashi Nagano, Yuichiro Hashimoto, Masuyuki Sugiyama, Yasuaki Takada
Mass spectra separation for explosives detection by using probabilistic latent component analysis. ICASSP (2012)
Masahito Togami, Yohei Kawaguchi, Ryu Takeda, Yasunari Obuchi, Nobuo Nukaga
Multichannel speech dereverberation and separation with optimized combination of linear and non-linear filtering. ICASSP (2012)
Masahito Togami, Yohei Kawaguchi, Nobuo Nukaga, Yasunari Obuchi
Online mvbf adaptation under diffuse noise environments with mimo based noise pre-filtering. ISSPA (2012)
Masahito Togami, Yohei Kawaguchi
Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems. SSP (2012)
Yohei Kawaguchi, Masahito Togami
Conversation clustering based on PLCA using within-cluster sparsity constraints. EUSIPCO (2012)
Yohei Kawaguchi, Masahito Togami
Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments. EUSIPCO (2010)
Masahito Togami, Yohei Kawaguchi
A two-stage multichannel acoustic noise reduction under reverberant environments. EUSIPCO (2010)
Masahito Togami, Takashi Sumiyoshi, Yasunari Obuchi, Yohei Kawaguchi, Hiroaki Kokubo
Beamforming array technique with clustered multichannel noise covariance matrix for mechanical noise reduction. EUSIPCO (2010)
Yohei Kawaguchi, Masahito Togami, Yasunari Obuchi
Turn taking-based conversation detection by using DOA estimation. INTERSPEECH (2010)
Masahito Togami, Yohei Kawaguchi
Head orientation estimation of a speaker by utilizing kurtosis of a DOA histogram with restoration of distance effect. ICASSP (2010)
Masahito Togami, Yohei Kawaguchi, Yasunari Obuchi
Subband nonstationary noise reduction based on multichannel spatial prediction under reverberant environments. ICASSP (2009)
Masahito Togami, Yohei Kawaguchi, Hiroaki Kokubo, Yasunari Obuchi
Subband beamformer combined with time-frequency ICA for extraction of target source under reverberant environments. EUSIPCO (2009)