Keisuke Imoto
Keisuke Imoto
Faculty of Science and Engineering, Doshisha University
Verified email at mail.doshisha.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
572019
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, ...
arXiv preprint arXiv:2006.05822, 2020
342020
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
232017
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
222013
Introduction to Acoustic Event and Scene Analysis
K Imoto
Acoustical Science and Technology 39 (3), 182-188, 2018
212018
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
202013
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
192016
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
132019
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
132018
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
112020
Acoustic scene analysis from acoustic event sequence with intermittent missing event
K Imoto, N Ono
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
112015
Spatial-feature-based acoustic scene analysis using distributed microphone array
K Imoto, N Ono
2015 23rd European Signal Processing Conference (EUSIPCO), 734-738, 2015
102015
Sound event detection using graph Laplacian regularization based on event co-occurrence
K Imoto, S Kyochi
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
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
92019
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
72019
Acoustic scene classification based on generative model of acoustic spatial words for distributed microphone array
K Imoto, N Ono
2017 25th European Signal Processing Conference (EUSIPCO), 2279-2283, 2017
72017
音響イベントと音響シーンの分析
井本桂右
日本音響学会誌 74 (4), 198-207, 2018
52018
Effect of active noise reflection unit (ANRU) on noise reduction
仲島崇博, 金慎也, 井本桂右, 伊勢史郎
日本音響学会誌 65 (9), 461-468, 2009
5*2009
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
32020
Acoustic scene analysis using partially connected microphones based on graph cepstrum
K Imoto
2018 26th European Signal Processing Conference (EUSIPCO), 2439-2443, 2018
32018
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Articles 1–20