首页|Studies from Dibrugarh University Describe New Findings in Technology (A computa tional approach for identifying assamese folk music instruments)
Studies from Dibrugarh University Describe New Findings in Technology (A computa tional approach for identifying assamese folk music instruments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in technology. According to news reporting originating from Assam, India, by NewsRx correspondents, research stated, “The classification of musical instruments by using a computational technique is a very challenging task.” The news correspondents obtained a quote from the research from Dibrugarh Univer sity: “The developments in signal-processing and data-mining techniques have mad e it feasible to analyse the many musical signal characteristics, which is essen tial for resolving the classification issues in music. In this work, 12 popular Assamese folk music instruments were selected for identification. Twelve musicia ns played the instruments and audio samples were recorded, different instantaneo us features were extracted, and an effort has been made to identify those instru ments using three popular classification techniques - Decision Tree Classifier ( DTC), Support Vector Machine (SVM), and Linear Discriminant Analysis (LDA). A pe rformance-based comparison was made among the three classifiers. The proposed se ts of features enabled the DTC, SVM and LDA models to achieve average accuracy r atings of 86.9%, 90% and 92.2% respecti vely.”
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