Search Results for author:
Found 13 papers, 6 papers with code
Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis
This is because the information obtained from a single sensor is often missing or fragmented in such an environment; observations from multiple locations and modalities should be integrated to analyze events comprehensively.
6DoF SELD: Sound Event Localization and Detection Using Microphones and Motion Tracking Sensors on self-motioning human
A system trained only with a dataset using microphone arrays in a fixed position would be unable to adapt to the fast relative motion of sound events associated with self-motion, resulting in the degradation of SELD performance.
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline
This paper provides a baseline system for First-shot-compliant unsupervised anomaly detection (ASD) for machine condition monitoring.
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 that detects events in a wide-range real environment by utilizing data from distributed cameras and microphones and their weak labels.
Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments
Our goal is to develop a sound event localization and detection (SELD) system that works robustly in unknown environments.
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 identifying the sound event and its direction.
APPLADE: Adjustable Plug-and-play Audio Declipper Combining DNN with Sparse Optimization
Still, they cannot perform well if the training data have mismatches and/or constraints in the time domain are not imposed.
ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions
This paper proposes a new large-scale dataset called "ToyADMOS2" for anomaly detection in machine operating sounds (ADMOS).
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval
Then, the caption of the audio input is generated by using a pre-trained language model while referring to the guidance captions.
A Transformer-based Audio Captioning Model with Keyword Estimation
TRACKE estimates keywords, which comprise a word set corresponding to audio events/scenes in the input audio, and generates the caption while referring to the estimated keywords to reduce word-selection indeterminacy.
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
The main challenge of this task is to detect unknown anomalous sounds under the condition that only normal sound samples have been provided as training data.
DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector
We propose a direction of arrival (DOA) estimation method that combines sound-intensity vector (IV)-based DOA estimation and DNN-based denoising and dereverberation.
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
The same transformation is applied also to the labels, in order to maintain consistency between input data and target labels.
