Electronic Engineering Final Year Project: Automatic Computer Classification of Solo Musical Instruments Project Proposal
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Musical Instrument Classification Using Neural Networks
In this paper, a system for automatic classification of musical instrument sounds is introduced. As features mel-frequency cepstral coefficients and as classifiers probabilistic neural networks are used. The experimental dataset included 4548 solo tones from 19 instruments of MIS database (The University of Iowa Musical Instrument Samples). Experiments for different system structures (hierarchi...
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In this paper we present first results on musical instrument classification using an HMM based recognizer. The final goal of our work is to automatically evaluate instruments and to classify them according to their characteristics. The first step in this direction was to train a system that is able to recognize a particular instrument among others of the same kind (e.g. guitars). The recognitio...
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In this paper we present our research on music instrument classification. In contrast to other contributions in this field we try to identify a certain instrument within a set of instruments of the same type. There exist a number of conceivable applications that could make use of this information. Our goal is to provide a tool to instrument makers that allows to measure the influence of changes...
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تاریخ انتشار 2007