The paper presents the task of recognizing environmental sounds for audio surveillance and security applications. A various characteristics have been proposed for audio classification, including the popular Mel-frequency cepstral coefficients (MFCCs) which give a description of the audio spectral shape. However, it exist some temporal-domain features. These last have been developed to character...

The human auditory sense may be regarded as the second most important sense after the sense of sight. This valuation is reflected in the field of information retrieval where until recently research concentrated on visual information retrieval. Even research in audio retrieval (AR) focused on one single aspect of hearing, namely understanding of speech. With the upcoming of large music databases...

Most significantly, user customized control for a sound of digital audio in a smart home must be able to adjust many environmental contexts simultaneously. A sound is affected by a temperature, humidity, and atmospheric pressure. And user must tune the sound of digital audio every time according to environmental contexts. In this paper, we developed a customized user interface for a remote cont...

Environmental audio classification has been the focus in the field of speech recognition. For Environmental audio data, it is difficult to find an optimal classifier and select the optimal features from various features can be extracted. Random forest is a powerful machine learning classifier compared to other conventional pattern recognition techniques. In this paper, the performance of the Ra...

A truly personal and reactive computer system should have access to the same information as its user, including the ambient sights and sounds. To this end, we have developed a system for extracting events and scenes from natural audio/visual input. We find our system can (without any prior labeling of data) cluster the audio/visual data into events, such as passing through doors and crossing th...

In this paper, we investigate the problem of classifying a subset of environmental sounds in movie audio tracks that indicate specific indexical semiotic use. These environmental sounds are used to signify and enhance events occurring in film scenes. We propose a classification system for detecting the presence of violence and car chase scenes in film by classifying ten various environmental so...