Reishi Kondo

According to our database, Reishi Kondo authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Low-Rank Constrained Multichannel Signal Denoising Considering Channel-Dependent Sensitivity Inspired by Self-Supervised Learning for Optical Fiber Sensing.

Noriyuki Tonami, Wataru Kohno, Sakiko Mishima, Yumi Arai, Reishi Kondo, Tomoyuki Hino

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Template Matching Method with Distributed Acoustic Sensing Data and Simulation Data.

Wataru Kohno, Reishi Kondo, Sakiko Mishima, Takashi Matsushita, Jian Fang, Tomoyuki Hino

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

2021

Quality-Anomaly Identification in Liquid-Coffee Vending Machines Through Electrical Current Waveforms and Olfactory Data.

Yuko Ishii, Hiromi Yamaguchi, Junko Watanabe, Reishi Kondo

Proceedings of the IEEE International Conference on Consumer Electronics, 2021

Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance.

Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo

Proceedings of the IEEE International Conference on Acoustics, 2021

Impulsive Timing Detection Based on Multi-Frame Phase Voting for Acoustic Event Detection.

Sakiko Mishima, Reishi Kondo

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2019

Canonical Correlation Based Feature Extraction with Application to Anomaly Detection in Electric Appliances.

Murtuza Petladwala, Yuko Ishii, Mitsuru Sendoda, Reishi Kondo

Proceedings of the IEEE International Conference on Acoustics, 2019

Bayesian Non-parametric Multi-source Modelling Based Determined Blind Source Separation.

Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo

Proceedings of the IEEE International Conference on Acoustics, 2019

Scene-dependent Anomalous Acoustic-event Detection Based on Conditional Wavenet and I-vector.

Tatsuya Komatsu, Tomoki Hayashi, Reishi Kondo, Tomoki Toda, Kazuya Takeda

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning.

Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo

Proceedings of the 26th European Signal Processing Conference, 2018

Anomalous Sound Event Detection Based on WaveNet.

Tomoki Hayashi, Tatsuya Komatsu, Reishi Kondo, Tomoki Toda, Kazuya Takeda

Proceedings of the 26th European Signal Processing Conference, 2018

Weakly Labeled Learning Using BLSTM-CTC for Sound Event Detection.

Taiki Matsuyoshi, Tatsuya Komatsu, Reishi Kondo, Takeshi Yamada, Shoji Makino

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Detection of anomaly acoustic scenes based on a temporal dissimilarity model.

Tatsuya Komatsu, Reishi Kondo

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

TDOA estimation based on phase-voting cross correlation and circular standard deviation.

Masanori Kato, Yuzo Senda, Reishi Kondo

Proceedings of the 25th European Signal Processing Conference, 2017

An acoustic monitoring system and its field trials.

Tatsuya Komatsu, Masahiro Tani, Takahiro Toizumi, Chaitanya Narisetty, Masanori Kato, Yumi Arai, Osamu Hoshuyama, Yuzo Senda, Reishi Kondo

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation.

Tatsuya Komatsu, Yuzo Senda, Reishi Kondo

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries.

Tatsuya Komatsu, Takahiro Toizumi, Reishi Kondo, Yuzo Senda

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016