Classification of environmental sounds plays a key role in security, investigation, robotics
since the study of the sounds present in a specific environment can allow to get significant …

Environmental noise is a key factor affecting the quality of life in modern societies as they
influence an extended set of human activities. Unwanted sounds, typically characterized as …

Sound classification is a task to classify sounds into different classes. In earlier days, the
researchers mainly used conventional machine learning techniques to classify sounds. In …

Environmental sound classification is an important branch of acoustic signal processing. In
this work, a set of sound classification features based on audio signal perception and …

This study proposes a sound classification model for natural disasters. Deep learning
techniques, a convolutional neural network (CNN) and long short-term memory (LSTM) …

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

Current methodologies explored for audio classification, particularly multi-channel audio,
commonly involve the use of individual deep learning approaches. In this paper, we look at …

With ever growing urbanization, the environmental noise is becoming hazardous. Vehicular
traffic, locomotives, heavy machinery in industry, and construction processes are the major …

Speech is one of the essential communication methods for human beings. The present
solutions available for people with hearing disabilities are limited due to accessibility and …

This study is a systematic review of literature on the classification of sounds in three domains-
Bioacoustics, Biomedical acoustics, and Ecoacoustics. Specifically, 68 conferences and …