| 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 | 241 | 2020 |
| 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 | 235 | 2019 |
| 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 | 129* | 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 | 112 | 2022 |
| 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 | 57 | 2020 |
| 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 | 55 | 2023 |
| Introduction to Acoustic Event and Scene Analysis K Imoto Acoustical Science and Technology 39 (3), 182-188, 2018 | 44 | 2018 |
| 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 | 43 | 2017 |
| 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 | 36 | 2016 |
| 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 | 35 | 2019 |
| 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 | 35 | 2018 |
| 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 | 33 | 2020 |
| 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 | 33 | 2019 |
| 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 | 32 | 2023 |
| 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 | 29 | 2013 |
| 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 | 27 | 2024 |
| 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 | 27 | 2021 |
| 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 | 27 | 2013 |
| 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 | 22 | 2019 |
| Joint analysis of sound events and acoustic scenes using multitask learning N Tonami, K Imoto, R Yamanishi, Y Yamashita IEICE TRANSACTIONS on Information and Systems 104 (2), 294-301, 2021 | 16 | 2021 |
Yuma KoizumiGoogle DeepMindVerified email at google.com
