Automatic Music Genres Classification using Machine Learning
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song references, finding related songs, finding societies who will like that specific song. The purpose of our research is to find best machine learning algorithm that predict the genre of songs using k-nearest neighbor (k-NN) and Support Vector Machine (SVM). This paper also presents comparative analysis between k-nearest neighbor (k-NN) and Support Vector Machine (SVM) with dimensionality return and then without dimensionality reduction via principal component analysis (PCA). The Mel Frequency Cepstral Coefficients (MFCC) is used to extract information for the data set. In addition, the MFCC features are used for individual tracks. From results we found that without the dimensionality reduction both k-nearest neighbor and Support Vector Machine (SVM) gave more accurate results compare to the results with dimensionality reduction. Overall the Support Vector Machine (SVM) is much more effective classifier for classification of music genre. It gave an overall accuracy of 77%.
Authors and Affiliations
Muhammad Asim Ali, Zain Ahmed Siddiqui
Keywords
Related Articles
- EP ID EP260477
- DOI 10.14569/IJACSA.2017.080844
- Views 121
- Downloads 0
Linking Context to Data Warehouse Design
Data warehouses are now widely used for analysis and decision support purposes. The availability of software solutions, which are more and more user-friendly and easy to manipulate has made it possible to extend their us...
TCP I-Vegas in Mobile-IP Network
Mobile Internet Protocol (Mobile-IP or MIP) provides hosts with the ability to change their point of attachment to the network without compromising their ability to communicate. However, when TCP Vegas is used over a MIP...
Innovative Automatic Discrimination Multimedia Documents for Indexing using Hybrid GMM-SVM Method
In this paper, a new parameterization method sound discrimination of multimedia documents based on entropy phase is presented to facilitate indexing audio documents and speed up their searches in digital libraries or the...
Efficient Relay Selection Scheme based on Fuzzy Logic for Cooperative Communication
The performance of cooperative network can be increased by using relay selection technique. Therefore, interest in relay selection is sloping upward. We proposed two new relay selection schemes based on fuzzy logic for d...
Design and Implementation of NoC arcitectures based on SpaceWire protocol
The SpaceWire is a standard for high-speed links and networks used onboard spacecrafts, designed by the ESA, and widely used on many space missions by multiple space agencies. SpaceWire has shown a great flexibility by g...