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This paper proposes a unified method to deal with the problem of detecting cheering events in audio stream of live sports games. In our framework, first, a sliding window is used to pre-segment the audio stream into short segments by moving from start to the end. Second, various kinds of audio features are extracted to represent different audio sounds in each segment. Third, GMM (Gaussian Mixture...
This paper presents an approach to tone recognition in mandarin conversational telephone speech (CTS) based on a real context model. The real context model is proposed as a new concept designed with special consideration on the fact that mandarin CTS is characterized by complicated tone behaviors due to physiological articulation. As pitch is a supra-segmental feature, current tone's pitch value is...
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