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2020 – today
- 2024
[c56]Kota Dohi, Yohei Kawaguchi:
Distributed Collaborative Anomalous Sound Detection by Embedding Sharing. EUSIPCO 2024: 91-95- [c55]Shota Horiguchi, Kota Dohi, Yohei Kawaguchi:
Streaming Active Learning for Regression Problems Using Regression via Classification. ICASSP 2024: 4955-4959 - [i26]Kota Dohi, Yohei Kawaguchi:
Distributed collaborative anomalous sound detection by embedding sharing. CoRR abs/2403.16610 (2024) - [i25]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 abs/2406.07250 (2024) - [i24]Tuan Vu Ho, Kota Dohi, Yohei Kawaguchi:
Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring. CoRR abs/2408.05493 (2024) - [i23]Kota Dohi, Aoi Ito, Harsh Purohit, Tomoya Nishida, Takashi Endo, Yohei Kawaguchi:
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data. CoRR abs/2409.16647 (2024) - [i22]Harsh Purohit, Tomoya Nishida, Kota Dohi, Takashi Endo, Yohei Kawaguchi:
MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System. CoRR abs/2409.18542 (2024) - 2023
- [j6]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: 706-720 (2023) - [c54]Tomoya Nishida, Takashi Endo, Yohei Kawaguchi:
Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection. ICASSP 2023: 1-5 - [c53]Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi:
CAPTDURE: Captioned Sound Dataset of Single Sources. INTERSPEECH 2023: 1683-1687 - [c52]Kanta Shimonishi, Kota Dohi, Yohei Kawaguchi:
Anomalous Sound Detection Based on Sound Separation. INTERSPEECH 2023: 2733-2737 - [i21]Tomoya Nishida, Takashi Endo, Yohei Kawaguchi:
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection. CoRR abs/2304.02221 (2023) - [i20]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 abs/2305.07828 (2023) - [i19]Kanta Shimonishi, Kota Dohi, Yohei Kawaguchi:
Anomalous Sound Detection Based on Sound Separation. CoRR abs/2305.15859 (2023) - [i18]Yuki Okamoto, Kanta Shimonishi, Keisuke Imoto, Kota Dohi, Shota Horiguchi, Yohei Kawaguchi:
CAPTDURE: Captioned Sound Dataset of Single Sources. CoRR abs/2305.17758 (2023) - [i17]Shota Horiguchi, Kota Dohi, Yohei Kawaguchi:
Streaming Active Learning for Regression Problems Using Regression via Classification. CoRR abs/2309.01013 (2023) - 2022
- [c51]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 - [c50]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 - [c49]Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Anomalous Sound Detection Based on Machine Activity Detection. EUSIPCO 2022: 269-273 - [c48]Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. EUSIPCO 2022: 274-278 - [c47]Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling physical parameters for anomalous sound detection under domain shifts. EUSIPCO 2022: 279-283 - [c46]Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeic Words. ICASSP 2022: 221-225 - [c45]Shota Horiguchi, Yuki Takashima, Paola García, Shinji Watanabe, Yohei Kawaguchi:
Multi-Channel End-To-End Neural Diarization with Distributed Microphones. ICASSP 2022: 7332-7336 - [c44]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: 2218-2222 - [i16]Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Anomalous Sound Detection Based on Machine Activity Detection. CoRR abs/2204.07353 (2022) - [i15]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 abs/2205.13879 (2022) - [i14]Shota Horiguchi, Shinji Watanabe, Paola García, Yuki Takashima, Yohei Kawaguchi:
Online Neural Diarization of Unlimited Numbers of Speakers. CoRR abs/2206.02432 (2022) - [i13]Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. CoRR abs/2206.05460 (2022) - [i12]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 abs/2206.05876 (2022) - 2021
- [c43]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: 98-105 - [c42]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: 186-190 - [c41]Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi:
Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection. ICASSP 2021: 336-340 - [c40]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: 21-25 - [i11]Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi:
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection. CoRR abs/2103.08801 (2021) - [i10]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 abs/2105.02702 (2021) - [i9]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 abs/2106.04492 (2021) - [i8]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 abs/2107.01545 (2021) - [i7]Shota Horiguchi, Yuki Takashima, Paola García, Shinji Watanabe, Yohei Kawaguchi:
Multi-Channel End-to-End Neural Diarization with Distributed Microphones. CoRR abs/2110.04694 (2021) - [i6]Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts. CoRR abs/2111.06539 (2021) - [i5]Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeia. CoRR abs/2112.00209 (2021) - 2020
- [c39]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: 81-85 - [c38]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: 175-179 - [c37]Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous Sound Detection Based on Interpolation Deep Neural Network. ICASSP 2020: 271-275 - [e1]Nobutaka Ono, Noboru Harada, Yohei Kawaguchi, Annamaria Mesaros, Keisuke Imoto, Yuma Koizumi, Tatsuya Komatsu:
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), Tokyo, Japan (full virtual), November 2-4, 2020. 2020, ISBN 978-4-600-00566-5 [contents] - [i4]Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous sound detection based on interpolation deep neural network. CoRR abs/2005.09234 (2020) - [i3]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 abs/2006.05822 (2020) - [i2]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 abs/2009.12042 (2020)
2010 – 2019
- 2019
- [c36]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: 279-283 - [c35]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: 209-213 - [c34]Yohei Kawaguchi, Ryo Tanabe, Takashi Endo, Kenji Ichige, Koichi Hamada:
Anomaly Detection Based on an Ensemble of Dereverberation and Anomalous Sound Extraction. ICASSP 2019: 865-869 - [i1]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 abs/1909.09347 (2019) - 2018
- [c33]Yohei Kawaguchi:
Anomaly Detection Based on Feature Reconstruction from Subsampled Audio Signals. EUSIPCO 2018: 2524-2528 - [c32]Rintaro Ikeshita, Yohei Kawaguchi:
Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution. ICASSP 2018: 741-745 - [c31]Yohei Kawaguchi, Takashi Endo, Kenji Ichige, Koichi Hamada:
Non-Negative Novelty Extraction: A New Non-Negativity Constraint for NMF. IWAENC 2018: 256-260 - [c30]Rintaro Ikeshita, Yohei Kawaguchi, Kenji Nagamatsu:
Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates. IWAENC 2018: 520-524 - 2017
- [c29]Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami:
Time-domain subsampling and reconstruction for microphone array. APSIPA 2017: 370-374 - [c28]Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita:
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA 2017: 452-456 - [c27]Ryoichi Takashima, Yohei Kawaguchi, Qinghua Sun, Takashi Sumiyoshi, Masahito Togami:
An application of noise-robust speech translation using asynchronous smart devices. APSIPA 2017: 1592-1595 - [c26]Sandra Ramaswami, Yohei Kawaguchi, Ryoichi Takashima, Takashi Endo, Masahito Togami:
ADMM-based audio reconstruction for low-cost-sound-monitoring. EUSIPCO 2017: 1260-1264 - [c25]Rintaro Ikeshita, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, Kenji Nagamatsu:
Independent vector analysis with frequency range division and prior switching. EUSIPCO 2017: 2329-2333 - [c24]Ryoichi Takashima, Yohei Kawaguchi, Masahito Togami:
Separation of vibration-derived sound signals based on fusion processing of vibration sensors and microphones. EUSIPCO 2017: 2428-2432 - [c23]Rintaro Ikeshita, Masahito Togami, Yohei Kawaguchi, Yusuke Fujita, Kenji Nagamatsu:
Local Gaussian model with source-set constraints in audio source separation. MLSP 2017: 1-6 - [c22]Yohei Kawaguchi, Takashi Endo:
How can we detect anomalies from subsampled audio signals? MLSP 2017: 1-6 - 2016
- [c21]Yohei Kawaguchi, Masahito Togami:
Adaptive boolean compressive sensing by sequential pool-design. APSIPA 2016: 1-5 - [c20]Yohei Kawaguchi, Masahito Togami:
Adaptive Boolean compressive sensing by using multi-armed bandit. ICASSP 2016: 3261-3265 - 2015
- [j5]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. 98-A(9): 1888-1897 (2015) - [j4]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. 98-A(9): 1898-1905 (2015) - [c19]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: 416-422 - [c18]Yohei Kawaguchi, Tatsuhiko Osa, Hisashi Nagano, Masahito Togami:
Improvement of robustness to change of positive elements in boolean compressive sensing. EUSIPCO 2015: 1197-1201 - 2014
- [j3]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): 1612-1623 (2014) - [c17]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: 2280-2284 - [c16]Masahito Togami, Yohei Kawaguchi, Ryoichi Takashima:
Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix. ICASSP 2014: 5909-5913 - 2013
- [j2]Masahito Togami, Yohei Kawaguchi, Yasunari Obuchi:
Multichannel Two-Stage Beamforming with Unconstrained Beamformer and Distortion Reduction. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(4): 749-761 (2013) - [j1]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): 1369-1380 (2013) - [c15]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: 1-5 - [c14]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: 2795-2799 - [c13]Masahito Togami, Yohei Kawaguchi:
Noise robust speech dereverberation with Kalman smoother. ICASSP 2013: 7447-7451 - 2012
- [c12]Yohei Kawaguchi, Masahito Togami:
Conversation clustering based on PLCA using within-cluster sparsity constraints. EUSIPCO 2012: 619-623 - [c11]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: 1665-1668 - [c10]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: 4057-4060 - [c9]Masahito Togami, Yohei Kawaguchi, Nobuo Nukaga, Yasunari Obuchi:
Online mvbf adaptation under diffuse noise environments with mimo based noise pre-filtering. ISSPA 2012: 292-297 - [c8]Masahito Togami, Yohei Kawaguchi:
Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems. SSP 2012: 357-360 - 2010
- [c7]Masahito Togami, Yohei Kawaguchi:
A two-stage multichannel acoustic noise reduction under reverberant environments. EUSIPCO 2010: 726-730 - [c6]Yohei Kawaguchi, Masahito Togami:
Soft masking based adaptation for time-frequency beamformers under reverberant and background noise environments. EUSIPCO 2010: 736-740 - [c5]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: 741-745 - [c4]Masahito Togami, Yohei Kawaguchi:
Head orientation estimation of a speaker by utilizing kurtosis of a DOA histogram with restoration of distance effect. ICASSP 2010: 133-136 - [c3]Yohei Kawaguchi, Masahito Togami, Yasunari Obuchi:
Turn taking-based conversation detection by using DOA estimation. INTERSPEECH 2010: 3134-3137
2000 – 2009
- 2009
- [c2]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: 150-154 - [c1]Masahito Togami, Yohei Kawaguchi, Yasunari Obuchi:
Subband nonstationary noise reduction based on multichannel spatial prediction under reverberant environments. ICASSP 2009: 133-136
Coauthor Index
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