3 citations · 3 across the 6 of their papers we have counts for
6 papers
Self-supervised learning method using multiple sampling strategies for general-purpose audio representation
Ibuki Kuroyanagi, Tatsuya Komatsu
We propose a self-supervised learning method using multiple sampling strategies to obtain general-purpose audio representation. Multiple sampling strategies are used in the propose…
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training
Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda +1
We introduce Serial-OE, a new approach to anomalous sound detection (ASD) that leverages small amounts of anomalous data to improve the performance. Conventional ASD methods rely p…
Improving Anomalous Sound Detection through Pseudo-anomalous Set Selection and Pseudo-label Utilization under Unlabeled Conditions
Ibuki Kuroyanagi, Takuya Fujimura, Kazuya Takeda +1
This paper addresses performance degradation in anomalous sound detection (ASD) when neither sufficiently similar machine data nor operational state labels are available. We presen…
Improvements of Discriminative Feature Space Training for Anomalous Sound Detection in Unlabeled Conditions
Takuya Fujimura, Ibuki Kuroyanagi, Tomoki Toda
In anomalous sound detection, the discriminative method has demonstrated superior performance. This approach constructs a discriminative feature space through the classification of…
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure
Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda +1
Anomalous sound detection systems must detect unknown, atypical sounds using only normal audio data. Conventional methods use the serial method, a combination of outlier exposure (…
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids
Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda +1
An anomalous sound detection system to detect unknown anomalous sounds usually needs to be built using only normal sound data. Moreover, it is desirable to improve the system by ef…