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Abstract:
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This thesis concerns the automatic recognition of musical instruments, where the idea is to build computer systems that "listen" to musical sounds and recognize which instruments is playing. Experimental material consisted of 5286 single notes from Western orchestral instruments, the timbre of which have been studied in great depth. The literature review part of this thesis introduces the studies on the sound of musical instruments, as well as related knowledge on instrument acoustics. Together with the state-of-the-art in automatic sound source recognition systems, these form the foundation for the most important part of this thesis: the extraction of perceptually relevant features from acoustic musical signals. /Kir10 |