International Journal of Advance Computational Engineering and Networking (IJACEN)
.
Follow Us On :
current issues
Volume-10,Issue-4  ( Apr, 2022 )
Past issues
  1. Volume-10,Issue-3  ( Mar, 2022 )
  2. Volume-10,Issue-2  ( Feb, 2022 )
  3. Volume-10,Issue-1  ( Jan, 2022 )
  4. Volume-9,Issue-12  ( Dec, 2021 )
  5. Volume-9,Issue-11  ( Nov, 2021 )
  6. Volume-9,Issue-10  ( Oct, 2021 )
  7. Volume-9,Issue-9  ( Sep, 2021 )
  8. Volume-9,Issue-8  ( Aug, 2021 )
  9. Volume-9,Issue-7  ( Jul, 2021 )
  10. Volume-9,Issue-6  ( Jun, 2021 )

Statistics report
Jun. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 112
Paper Published : 1361
No. of Authors : 3438
  Journal Paper


Paper Title :
Music Genre Classification on AWS Cloud Platform

Author :Astha Baranwal, Priya.V

Article Citation :Astha Baranwal ,Priya.V , (2019 ) " Music Genre Classification on AWS Cloud Platform " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 10-15, Volume-7, Issue-8

Abstract : Music genre classification is a trending topic in the music industry. Genre classification is crucial to the music industry as it plays a vital role in song recommendation systems. This paper uses the AWS Cloud platform’s machine learning model to classify songs into genres (viz. rock, pop, blues, country, classical and hip-hop) based on the predicted scores. AWS Machine Learning models are fast and easy to build. Stochastic Gradient Descent is used for classification for the AWS Machine Learning multi-class model. The predicted scores for each genre for a song can help determine multi-labeled classification for a song as well. Real-time classification of songs is possible through the AWS Machine learning model created. Random forest model is built for the dataset using Python machine learning libraries. This model is then hyper parameter tuned and the performance metrics are calculated. F1-scores for the two models are then compared. Keywords – Machine learning, Multi-classification, Cloud Computing, Multi-label classification, Stochastic Gradient Descent, Random Forest, AWS Machine Learning

Type : Research paper

Published : Volume-7, Issue-8


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-15930   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 68
| Published on 2019-09-26
   
   
IRAJ Other Journals
IJACEN updates
Paper Submission is open now for upcoming Issue.
The Conference World

JOURNAL SUPPORTED BY