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20182022
most citedDescription and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

105 citations · 218 across the 15 of their papers we have counts for

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16 papers · 1 filter

eess.AS2022

Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi +2

Many application studies rely on audio DNN models pre-trained on a large-scale dataset as essential feature extractors, and they extract features from the last layers. In this stud…

eess.AS2022

Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion

Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito +1

We tackle a challenging task: multi-view and multi-modal event detection that detects events in a wide-range real environment by utilizing data from distributed cameras and microph…

eess.AS202125 cited

ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

Noboru Harada, Daisuke Niizumi, Daiki Takeuchi +3

This paper proposes a new large-scale dataset called "ToyADMOS2" for anomaly detection in machine operating sounds (ADMOS). As did for our previous ToyADMOS dataset, we collected a…

eess.AS202134 cited

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions

Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi +6

We present the task description and discussion on the results of the DCASE 2021 Challenge Task 2. In 2020, we organized an unsupervised anomalous sound detection (ASD) task, identi…

eess.AS20211 cited

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi +2

Inspired by the recent progress in self-supervised learning for computer vision that generates supervision using data augmentations, we explore a new general-purpose audio represen…

eess.AS202011 cited

Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning

Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi +2

The system we used for Task 6 (Automated Audio Captioning)of the Detection and Classification of Acoustic Scenes and Events(DCASE) 2020 Challenge combines three elements, namely, d…