In this work we analyze and implement several audio features. We emphasize our analysis on the ZCR feature and propose a modification making it more robust when signals are near zero. They are all used to discriminate the following audio classes: music, speech, environmental sound. An SVM classifier is used as a classification tool, which has proven to be efficient for audio classification. By ...

In this paper, we propose to integrate an Environmental Sniffing [1] framework, into an in-vehicle hands-free digit recognition task. The framework of Environmental Sniffing is focused on detection, classification and tracking changing acoustic environments. Here, we extend the framework to detect and track acoustic environmental conditions in a noisy-speech audio stream. Knowledge extracted ab...

Video structure extraction is essential to automatic and contentbased organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have developed, it is still difficult to extract scene structures or group shots into scenes. In this paper, we present a novel audio assisted video segmentation scheme, in which audio and color information is integrated in ...

This paper aims to investigate the effectiveness of three selected instructional approaches viz. selflearning material, audio-visual and fun activity approach in order to develop the environmental awareness among the IX grade students. A standardised questionnaire on environmental awareness was used as a research instrument. Environmental awareness scores were analysed using descriptive statist...

The role of the ageostrophic vorticity tendencies in the Zwack–Okossi vorticity tendency equation has been examined within the context that this term in the equation acts as a correction term for the vorticity tendency or height tendency calculations. In this paper, this term is shown to act as both a response to initial forcing and as a forcing mechanism itself in modulating the initial forcin...

Environmental sounds provide many contextual cues that enable us to recognize important aspects of our surroundings. The goal of this project is to consider techniques to allow machines to extract and classify features from pre-defined classes of sounds in the environment. We will present the different phases of the project: capture of environmental audio, pre-processing of audio data, feature ...