
Description
Modern audio datasets and machine learning software tools have given researchers a deep understanding into Music Information Retrieval (MIR) applications. In this paper, we investigate the accuracy and viability of using a machine learning based approach to perform music genre recognition using the Free Music Archive (FMA) dataset.
Download count: 0
Details
Contributors
- Khondoker, Farib (Co-author)
- Wildenstein, Diego (Co-author)
- Spanias, Andreas (Thesis director)
- Ingalls, Todd (Committee member)
- Electrical Engineering Program (Contributor, Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2019-05
Subjects
Resource Type
Collections this item is in