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Keisuke Imoto
Keisuke Imoto
Zweryfikowany adres z mail.doshisha.ac.jp - Strona główna
Tytuł
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Cytowane przez
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Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring
Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ...
Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop …, 2020
2742020
ToyADMOS: A dataset of miniature-machine operating sounds for anomalous sound detection
Y Koizumi, S Saito, H Uematsu, N Harada, K Imoto
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
2692019
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions.
Y Kawaguchi, K Imoto, Y Koizumi, N Harada, D Niizumi, K Dohi, ...
Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop …, 2021
146*2021
Description and discussion on DCASE 2022 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring applying domain generalization techniques
K Dohi, K Imoto, N Harada, D Niizumi, Y Koizumi, T Nishida, H Purohit, ...
arXiv preprint arXiv:2206.05876, 2022
1272022
Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring
K Dohi, K Imoto, N Harada, D Niizumi, Y Koizumi, T Nishida, H Purohit, ...
arXiv preprint arXiv:2305.07828, 2023
712023
Sound event detection by multitask learning of sound events and scenes with soft scene labels
K Imoto, N Tonami, Y Koizumi, M Yasuda, R Yamanishi, Y Yamashita
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
592020
Introduction to Acoustic Event and Scene Analysis
K Imoto
Acoustical Science and Technology 39 (3), 182-188, 2018
472018
Spatial cepstrum as a spatial feature using a distributed microphone array for acoustic scene analysis
K Imoto, N Ono
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 25 (6 …, 2017
452017
Foley sound synthesis at the dcase 2023 challenge
K Choi, J Im, L Heller, B McFee, K Imoto, Y Okamoto, M Lagrange, ...
arXiv preprint arXiv:2304.12521, 2023
402023
Sound event localization based on sound intensity vector refined by DNN-based denoising and source separation
M Yasuda, Y Koizumi, S Saito, H Uematsu, K Imoto
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
392020
Acoustic scene analysis based on hierarchical generative model of acoustic event sequence
K Imoto, S Shimauchi
IEICE TRANSACTIONS on Information and Systems 99 (10), 2539-2549, 2016
372016
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection
S Kothinti, K Imoto, D Chakrabarty, G Sell, S Watanabe, M Elhilali
2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019
352019
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection
S Kothinti, K Imoto, D Chakrabarty, G Sell, S Watanabe, M Elhilali
Technical report of task 4 of DCASE Challenge 2018, 2018
352018
Joint analysis of acoustic events and scenes based on multitask learning
N Tonami, K Imoto, M Niitsuma, R Yamanishi, Y Yamashita
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
342019
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
T Nishida, N Harada, D Niizumi, D Albertini, R Sannino, S Pradolini, ...
arXiv preprint arXiv:2406.07250, 2024
312024
Impact of sound duration and inactive frames on sound event detection performance
K Imoto, S Mishima, Y Arai, R Kondo
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
292021
User Activity Estimation Method Based on Probabilistic Generative Model of Acoustic Event Sequence with User Activity and Its Subordinate Categories
K Imoto, S Shimauchi, H Uematsu, H Ohmuro
International Conference on Spoken Language Processing (Interspeech 2013), 2013
292013
Acoustic scene analysis based on latent acoustic topic and event allocation
K Imoto, Y Ohishi, H Uematsu, H Ohmuro
2013 IEEE international workshop on machine learning for signal processing …, 2013
282013
Acoustic Topic Model for Scene Analysis with Intermittently Missing Observations
K Imoto, N Ono
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 27 (2 …, 2019
232019
Correlation of Fr\'echet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant
M Tailleur, J Lee, M Lagrange, K Choi, LM Heller, K Imoto, Y Okamoto
arXiv preprint arXiv:2403.17508, 2024
182024
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