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The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
Audio encoding rate selection is mostly based on the extent of channel congestion in these days. This paper presents an analysis of complexity of audio based Mean Opinion Score (MOS). The different styles of music exhibit various requirement of encoding rates in the view of MOS. A preliminary encoding rate selection system is set up. Experiment results indicate that our system can reduce encoding...
The ever-increasing amount of digital audio media in recent years, led to the demand of content based retrieval of multimedia. On the other India classical Music is unaffected from this innovation. Hence, this paper puts forward a comparative study on content based identification and retrieval for Indian Classical Music. The paper concentrates on comparative implementation of various features like...
This paper proposed a two layer authorization mechanism, including traditional password system and rhythm recognition. The whole system includes two phases: preprocessing and usual operation for users. In preprocessing phase, users type password in a specific rhythm in order to record and analyse the characteristics of behaviour of users. In the second phase, how to verify a user in usual operation...
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