Tomoya Nishida

According to our database, Tomoya Nishida authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Retrieval-Augmented Approach for Unsupervised Anomalous Sound Detection and Captioning without Model Training.

Ryoya Ogura, Tomoya Nishida, Yohei Kawaguchi

CoRR, 2024

Timbre Difference Capturing in Anomalous Sound Detection.

Tomoya Nishida, Harsh Purohit, Kota Dohi, Takashi Endo, Yohei Kawaguchi

CoRR, 2024

MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System.

Harsh Purohit, Tomoya Nishida, Kota Dohi, Takashi Endo, Yohei Kawaguchi

CoRR, 2024

Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data.

Kota Dohi, Aoi Ito, Harsh Purohit, Tomoya Nishida, Takashi Endo, Yohei Kawaguchi

CoRR, 2024

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring.

Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, Yohei Kawaguchi

CoRR, 2024

2023

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi

CoRR, 2023

Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection.

Tomoya Nishida, Takashi Endo, Yohei Kawaguchi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Region-Restricted Sensor Placement Based on Gaussian Process for Sound Field Estimation.

Tomoya Nishida, Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari

IEEE Trans. Signal Process., 2022

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

CoRR, 2022

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task.

Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi

CoRR, 2022

Anomalous Sound Detection Based on Machine Activity Detection.

Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

Proceedings of the 30th European Signal Processing Conference, 2022

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task.

Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques.

Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

MESHRIR: A Dataset of Room Impulse Responses on Meshed Grid Points for Evaluating Sound Field Analysis and Synthesis Methods.

Shoichi Koyama, Tomoya Nishida, Keisuke Kimura, Takumi Abe, Natsuki Ueno, Jesper Brunnström

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

2020

Fast Semi-Supervised Anomaly Detection of Drivers' Behavior using Online Sequential Extreme Learning Machine.

Hiroki Oikawa, Tomoya Nishida, Ryuichi Sakamoto, Hiroki Matsutani, Masaaki Kondo

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Anomalous Sound Detection Based on Interpolation Deep Neural Network.

Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Mutual-Information-Based Sensor Placement for Spatial Sound Field Recording.

Kentaro Ariga, Tomoya Nishida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sensor placement in arbitrarily restricted region for field estimation based on Gaussian process.

Tomoya Nishida, Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari

Proceedings of the 28th European Signal Processing Conference, 2020