This paper evaluates the potential of convolutional neural networks in classifying short audio
clips of environmental sounds. A deep model consisting of 2 convolutional layers with max …

Safety-critical sounds at job sites play an essential role in construction safety, but hearing
capability is often declined due to the use of hearing protection and the complicated nature …

In sound information retrieval (SIR) area, environmental sound classification (ESC) emerges
as a new issue, which aims at classifying environments by analysing the complex features …

Different from traditional long videos, micro-videos are much shorter and usually recorded at
a specific place with mobile devices. To better understand the semantics of a micro-video …

Multimedia event detection (MED) is the task of detecting given events (eg birthday party,
making a sandwich) in a large collection of video clips. While visual features and automatic …

Increased mass shootings and terrorist activities severely impact society mentally and
physically. Development of real-time and cost-effective automated weapon detection …

Despite the remarkable progress recently made in distant speech recognition, state-of-the-
art technology still suffers from a lack of robustness, especially when adverse acoustic …

Improving distant speech recognition is a crucial step towards flexible human-machine
interfaces. Current technology, however, still exhibits a lack of robustness, especially when …

In this paper, we present a deep neural network (DNN)-based acoustic scene classification
framework. Two hierarchical learning methods are proposed to improve the DNN baseline …

Sound event detection is the task of detecting the type, starting time, and ending time of
sound events in audio streams. Recently, recurrent neural networks (RNNs) have become …