research
∙
02/18/2022
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion
We tackle a challenging task: multi-view and multi-modal event detection...
share
research
∙
02/18/2022
Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments
Our goal is to develop a sound event localization and detection (SELD) s...
research
∙
02/17/2022
Wearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head
Sound event localization and detection (SELD) is a combined task of iden...
research
∙
07/01/2020
A Transformer-based Audio Captioning Model with Keyword Estimation
One of the problems with automated audio captioning (AAC) is the indeter...
research
∙
02/14/2020
Sound Event Localization based on Sound Intensity Vector Refined By DNN-Based Denoising and Source Separation
We propose a direction-of-arrival (DOA) estimation method for Sound Even...
research
∙
10/10/2019
DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector
We propose a direction of arrival (DOA) estimation method that combines ...
research
∙
08/09/2019
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
This paper introduces a new dataset called "ToyADMOS" designed for anoma...
research
∙
07/19/2019
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
Use of an autoencoder (AE) as a normal model is a state-of-the-art techn...
research
∙
10/22/2018
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma
This paper proposes a novel optimization principle and its implementatio...
research
∙
02/24/2017
