Feature Selection For Indian Instrument Recognition Using SVM Classifier
Ashwini Ashwini, Krishna A Vijaya · 2020
The Indian Classical Music is extremely varied and is of unique types across the globe. In order to achieve the uniqueness, it uses a wide diversity of Musical Instruments. This paper considers only the Indian musical instruments. Also it provides a study on feature analysis for the identification of Indian musical instruments. ML techniques are utilized for the purpose of choosing and evaluating features that are extracted from various instruments. Efforts are made to enhance the dissimilar parts of the detection system and the majority of the effort is concerned with the features of the musical instruments and classification schemes that makes use of support vector machines (SVMs). The experiment is performed on seven different Indian instruments and the results indicates the capability of the proposed method by providing good discrimination among them.