Acoustic Event Classification (AEC) has been widely used in devices such...
Standard acoustic event classification (AEC) solutions require large-sca...
Deep learning is very data hungry, and supervised learning especially
re...
Knowledge Distillation (KD) is a popular area of research for reducing t...
This paper proposes a network architecture mainly designed for audio tag...
We study few-shot acoustic event detection (AED) in this paper. Few-shot...
Acoustic event classification (AEC) and acoustic event detection (AED) r...
This paper proposes a Sub-band Convolutional Neural Network for spoken t...
Acoustic Event Detection (AED), aiming at detecting categories of events...
In this paper, we present a compression approach based on the combinatio...
This paper presents our work of training acoustic event detection (AED)
...
We propose a simple recurrent model for detecting rare sound events, whe...
This paper proposes a Region-based Convolutional Recurrent Neural Networ...
Image hallucination and super-resolution have been studied for decades, ...
Active learning - a class of algorithms that iteratively searches for th...