Gaussian Mixture Model Classifiers
نویسنده
چکیده
1.1 Classification Model Before presenting in more details the Gaussian Mixture Model (GMM) classification process, it is worthwhile to consider what “classification” actually means. According to [3], a “classification model” is made of three main parts : • a transducer : in the case of music this would typically be the A/D conversion chain of the sound. • a feature extractor : it extracts significant features from the information coming from the transducer (e.g. the spectral centroid of frames of signal). These features should be chosen in such a way that clear groups or classes of data can be identified. • a classifier : its role is to assign the input data represented by their features to a number of different categories (e.g. different types of instruments).
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