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Audio classification is an important tool used in audio retrieval and other audio processing application areas. In this paper, five kinds of audio data including speech, symphony, jazz, light music and concerto are studied. Audio features are extracted by audio analysis, and formed into different feature sets. The performance on applying Support Vector Machine, Fisher Kernel Classifier and Potential...
The Waseda flutist robot is able to play the flute at the level of an intermediate human player. This ability opens a wide field of possibilities to research human-robot musical interaction. This research is focused on enabling the flutist robot to interact more naturally with musical partners in the context of a Jazz band. For this purpose a musical-based interaction system (MbIS) has been proposed...
This paper presents AudioCycle, a prototype application for browsing through music loop libraries. AudioCycle provides the user with a graphical view where the audio extracts are visualized and organized according to their similarity in terms of musical properties, such as timbre, harmony, and rhythm. The user is able to navigate in this visual representation, and listen to individual audio extracts,...
The Virtual Conductor is an artificial conducting system for tutoring purposes that uses real-time audio analysis of music played by musicians and uses this analysis to animate a virtual human that acts as a conductor. The analysis detects the tempo and the dynamics of the music, compares the results with the score and the intentions of the conductor and modifies the conducting behavior when the musicians...
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