This paper describes a corpus consisting of audio data for automatic space monitoring based solely on the perceived acoustic information. The particular database is created as part of a project aiming at the detection of abnormal events, which lead to life-threatening situations or property damage. The audio corpus is composed of vocal reactions and environmental sounds that are usually encount...

This review paper discusses the literature on perception and synthesis of environmental sounds. Relevant studies in ecological acoustics and multimodal perception are reviewed, and physicallybased sound synthesis techniques for various families of environmental sounds are compared. Current research directions an d open issues, including multimodal interfaces and virtal environments, automatic r...

In daily life environmental sounds that are present around us include intricately mixed sounds emitted from different sources. This work aim is to contribute a method for sound source separation by means of the enhanced k-means clustering with adaptive genetic algorithm. At first removes the features from the input audio signal by means of Mel Frequency Cepstral Coefficients (MFCC) and spectral...

This paper investigates digital data hiding schemes. The concept of information hiding will be explained at first, and its traits, requirements, and applications will be described subsequently. In order to design a digital data hiding system, one should first become familiar with the concepts and criteria of information hiding. Having knowledge about the host signal, which may be audio, image, ...

We study transfer learning in convolutional network architectures applied to the task of recognizing audio, such as environmental sound events and speech commands. Our key finding is that not only is it possible to transfer representations from an unrelated task like environmental sound classification to a voice-focused task like speech command recognition, but also that doing so improves accur...

conclusions this study showed that audio-visual training can have a significant effect on the self-efficacy of people with type 1 diabetes. providing audio-visual equipment to referral centers of type 1 diabetics, such as hospitals, health centers, and clinics, as well as informing related officials, can be of benefit to managers. results the mean of the self-efficacy score improved significant...