Music Instrument Recognition using Machine Learning Algorithms
P.K. Shreevathsa, M. Harshith, Abhishek Rao M., Ashwini Ashwini · 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) · 2020
In this is modern era, everyone listens to and plays music. Music is diverse across the globe. It is a language that speaks by itself and is the fulcrum of all the arts. We can say that rich legacy of this flawless art is infinity and beyond. It has the ability to mesmerise one and all. If there was a way in which we could get to know the instruments that are being played in the music, it would be more interesting. So, we can classify the music based on certain instruments. In last two decades, researchers are actively associated with human perception towards the study of Musical Instruments. Our work is based on designing an application that recognizes the instruments that are present in a given Music. It is no hidden fact anymore that neural network in general are dominating every single aspect and application in this world. The fact that a neural network can do a task that can be done by a human brain efficiently if we train them properly tells us a lot about their advancement in the day to day world. Thus, we make use of neural networks for the recognition of an instrument in a piece of music. Hence, we make use of ANN (Artificial Neural Network) and CNN(Convolutional Neural Network). We've considered eight different music instruments. The models thus built play a major role in finding the music instruments being played. Various features are extracted in the process and the result is found.