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An audio event refers to some specific audio sound which plays important role for video content analysis. In our previous work [M. Xu et. al., (2004)], we have established audio event identification as an audio classification task. Due to the large size of audio database, representative samples are necessary for training the classifier. However, the commonly used random selection of training samples...
Separation of voice and music is an interesting but difficult problem. It is useful for many other researches such as audio content analysis. In this paper, the difference between voice and music signals is carefully studied. It is proposed that the harmonic structure stability is the key difference between them. A separation algorithm based on this theory is proposed. The main idea is to learn the...
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduce the dimensionality of the input significantly, provide discrimination among different audio clips, and at the same time, invariant to the distorted versions of the same audio clip. In this paper, we design fingerprints addressing...
To realize the long-term goal of ubiquitous computing, technological advances in multi-channel acoustic analysis are needed in order to solve several basic problems, including speaker localization and tracking, speech activity detection (SAD) and distant-talking automatic speech recognition (ASR). The European Commission integrated project CHIL, "computers in the human interaction loop",...
The present research deals with audio events detection in noisy environments for a multimedia surveillance application. In surveillance or homeland security most of the systems aiming to automatically detect abnormal situations are only based on visual clues while, in some situations, it may be easier to detect a given event using the audio information. This is in particular the case for the class...
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