Monitoring of human and social activities is becoming increasingly pervasive in our living
environment for public security and safety applications. The recognition of suspicious events …

In everyday life, people differ in their sound perception and thus sound processing. Some
people may be distracted by construction noise, while others do not even notice. With …

To develop a sound-monitoring system for checking machine health, a method for detecting
anomalous sounds is proposed. In real environments such as factories, reverberation and …

In many methods of sound event detection (SED), a segmented time frame is regarded as
one data sample to model training. The durations of sound events greatly depend on the …

Acoustic event detection and scene classification are major research tasks in environmental
sound analysis, and many methods based on neural networks have been proposed …

Featured Application The algorithms explored in this research can be used for any multi-
level classification applications. Abstract Recent methodologies for audio classification …

Sound event detection (SED) and acoustic scene classification (ASC) are important
research topics in environmental sound analysis. Many research groups have addressed …

In this work Gammatone (GT) filter bank energy features are used with a deep neural
network (GT-DNN) to model robust acoustic event detection (AED) in the smart home …

In everyday life, people differ in their sound perception and thus sound processing. Some
people may be distracted by construction noise while others do not even notice. With …

An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is
effective in expressing characteristics of sound such as duration, pitch, and timbre. We …