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Conference and Workshop Papers
- 2024
[c16]Noriyuki Tonami, Wataru Kohno, Sakiko Mishima, Yumi Arai, Reishi Kondo, Tomoyuki Hino:
Low-Rank Constrained Multichannel Signal Denoising Considering Channel-Dependent Sensitivity Inspired by Self-Supervised Learning for Optical Fiber Sensing. ICASSP 2024: 8511-8515- 2022
- [c15]Wataru Kohno, Reishi Kondo, Sakiko Mishima, Takashi Matsushita, Jian Fang, Tomoyuki Hino:
Template Matching Method with Distributed Acoustic Sensing Data and Simulation Data. OECC/PSC 2022: 1-3 - 2021
- [c14]Sakiko Mishima, Reishi Kondo:
Impulsive Timing Detection Based on Multi-Frame Phase Voting for Acoustic Event Detection. APSIPA ASC 2021: 956-960 - [c13]Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. ICASSP 2021: 860-864 - [c12]Yuko Ishii, Hiromi Yamaguchi, Junko Watanabe, Reishi Kondo:
Quality-Anomaly Identification in Liquid-Coffee Vending Machines Through Electrical Current Waveforms and Olfactory Data. ICCE 2021: 1-4 - 2019
- [c11]Chaitanya Narisetty
, Tatsuya Komatsu, Reishi Kondo:
Bayesian Non-parametric Multi-source Modelling Based Determined Blind Source Separation. ICASSP 2019: 111-115 - [c10]Tatsuya Komatsu, Tomoki Hayashi, Reishi Kondo, Tomoki Toda, Kazuya Takeda:
Scene-dependent Anomalous Acoustic-event Detection Based on Conditional Wavenet and I-vector. ICASSP 2019: 870-874 - [c9]Murtuza Petladwala, Yuko Ishii, Mitsuru Sendoda, Reishi Kondo:
Canonical Correlation Based Feature Extraction with Application to Anomaly Detection in Electric Appliances. ICASSP 2019: 2737-2741 - 2018
- [c8]Taiki Matsuyoshi, Tatsuya Komatsu, Reishi Kondo, Takeshi Yamada, Shoji Makino:
Weakly Labeled Learning Using BLSTM-CTC for Sound Event Detection. APSIPA 2018: 1918-1923 - [c7]Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo:
Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning. EUSIPCO 2018: 847-851 - [c6]Tomoki Hayashi, Tatsuya Komatsu, Reishi Kondo, Tomoki Toda, Kazuya Takeda:
Anomalous Sound Event Detection Based on WaveNet. EUSIPCO 2018: 2494-2498 - 2017
- [c5]Tatsuya Komatsu, Masahiro Tani, Takahiro Toizumi, Chaitanya Narisetty, Masanori Kato, Yumi Arai, Osamu Hoshuyama, Yuzo Senda, Reishi Kondo:
An acoustic monitoring system and its field trials. APSIPA 2017: 1341-1346 - [c4]Masanori Kato, Yuzo Senda, Reishi Kondo:
TDOA estimation based on phase-voting cross correlation and circular standard deviation. EUSIPCO 2017: 1230-1234 - [c3]Tatsuya Komatsu, Reishi Kondo:
Detection of anomaly acoustic scenes based on a temporal dissimilarity model. ICASSP 2017: 376-380 - 2016
- [c2]Tatsuya Komatsu, Takahiro Toizumi, Reishi Kondo, Yuzo Senda:
Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries. DCASE 2016: 45-49 - [c1]Tatsuya Komatsu, Yuzo Senda, Reishi Kondo:
Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation. ICASSP 2016: 2259-2263
Informal and Other Publications
- 2023
- [i4]Noriyuki Tonami, Wataru Kohno, Sakiko Mishima, Yumi Arai, Reishi Kondo, Tomoyuki Hino:
Low-rank constrained multichannel signal denoising considering channel-dependent sensitivity inspired by self-supervised learning for optical fiber sensing. CoRR abs/2312.08660 (2023) - 2021
- [i3]Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. CoRR abs/2102.01927 (2021) - 2019
- [i2]Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo:
Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning. CoRR abs/1904.02852 (2019) - [i1]Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo:
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation. CoRR abs/1904.03787 (2019)
Coauthor Index
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