research
∙
04/05/2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection
Anomaly detection has many important applications, such as monitoring in...
share
research
∙
04/26/2021
Identifying Actions for Sound Event Classification
In Psychology, actions are paramount for humans to perceive and separate...
research
∙
03/19/2019
Relative Efficiency of Higher Normed Estimators Over the Least Squares Estimator
In this article, we study the performance of the estimator that minimize...
research
∙
04/23/2018
Understanding Cross-sectional Dependence in Panel Data
We provide various norm-based definitions of different types of cross-se...
research
∙
12/27/2017
A Light-Weight Multimodal Framework for Improved Environmental Audio Tagging
The lack of strong labels has severely limited the state-of-the-art full...
research
∙
12/27/2017
Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection
State-of-the-art audio event detection (AED) systems rely on supervised ...
research
∙
12/27/2017
Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection
State-of-the-art audio event detection (AED) systems rely on supervised ...
research
∙
12/27/2017
Eventness: Object Detection on Spectrograms for Temporal Localization of Audio Events
In this paper, we introduce the concept of Eventness for audio event det...
research
∙
11/29/2016
Learning Filter Banks Using Deep Learning For Acoustic Signals
Designing appropriate features for acoustic event recognition tasks is a...
research
∙
10/01/2016