Machine Learning Techniques for Music Genre Classification

2021 ◽  
pp. 155-161
Author(s):  
Nandkishor Narkhede ◽  
Sumit Mathur ◽  
Anand Bhaskar
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Genre Classification ◽  
Learning Techniques ◽  
Music Genre ◽  
Music Genre Classification

scholarly journals Music Genre Classification Using Deep Learning with KNN

2021 ◽  
pp. 224-230
Author(s):  
Dr. S. Ponlatha ◽  
Mathisalini B ◽  
Deepthisri K. A ◽  
Kalaiyarasi. M ◽  
Kowshika. V
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Machine Learning Techniques ◽  
Music Score ◽  
Genre Classification ◽  
Learning Techniques ◽  
Music Genre ◽  
The Right ◽  
Music Streaming ◽  
Music Genre Classification

Music genre is a conventional category that predicts the genre of music belonging to tradition or set of conventions. A music platform, with total assets of $26 billion, is ruling the music streaming stage today. At present, it has a huge number of tunes and it is information base and claims to have the right music score for everybody. Like, Spotify, Amazon music, Wynk has put a great deal in examination to further develop the manner in which clients find and pay attention to music. AI is at the centre of their examination. From NLP to Collaborative sifting to Deep Learning, All music platforms utilizes them all. Tunes are examined dependent on their advanced marks for certain elements, including rhythm, acoustics, energy, danceability, and so forth, to answer that incomprehensible old first-date inquiry. Organizations these days use music arrangement, either to have the option to put suggestions to their clients (like Spotify, Soundcloud) or just as an item (for instance, Shazam). Deciding music sorts is the initial phase toward that path. AI procedures have ended up being very fruitful in removing patterns and examples from a huge information pool. Similar standards are applied in Music Analysis moreover. Machine learning techniques are achieved in some recent years and rarely in deep learning. Most of the current music genre classification uses Machine learning techniques. In this, we present a music dataset which includes many genres like Rock, Pop, folk, Classical and many genres. A Deep learning approach is used in order to train and classify the system using KNN.

scholarly journals Music Genre Classification using Deep Learning

2021 ◽  
Vol 9 (VII) ◽  
pp. 66-71
Author(s):  
Sheeba Fathima
Keyword(s):  
Neural Networks ◽  
Machine Learning Techniques ◽  
Data Set ◽  
Music Production ◽  
Genre Classification ◽  
Learning Techniques ◽  
Network Topologies ◽  
Classification Tasks ◽  
Music Genre ◽  
Music Genre Classification

Many subjects are affected by digital music production., including music genre prediction. Machine learning techniques were used to classify music genres in this research. Deep neural networks (DNN) have recently been demonstrated to be effective in a variety of classification tasks. Including music genre classification. In this paper, we propose two methods for boosting music genre classification with convolutional neural networks: 1) using a process inspired by residual learning to combine peak- and average pooling to provide more statistical information to higher level neural networks; and 2) To bypass one or more layers, use shortcut connections. To perform classification, the KNN output is fed into another deep neural network. Our preliminary experimental results on the GTZAN data set show that the above two methods, especially the second one, can effectively improve classification accuracy when compared to two different network topologies.

Automatic Music Genre Classification Based on Linguistic Frequencies Using Machine Learning

2021 ◽  
Author(s):  
Mekala Srinivasa Rao ◽  
O. Pavan Kalyan ◽  
N. Naresh Kumar ◽  
Md. Tasleem Tabassum ◽  
B. Srihari
Keyword(s):  
Machine Learning ◽  
Genre Classification ◽  
Music Genre ◽  
Music Genre Classification

scholarly journals A Machine Learning Approach to Automatic Music Genre Classification

2008 ◽  
Vol 14 (3) ◽  
pp. 7-18 ◽  
Author(s):  
Carlos N. Silla ◽  
Alessandro L. Koerich ◽  
Celso A. A. Kaestner
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Genre Classification ◽  
Machine Learning Approach ◽  
Music Genre ◽  
Music Genre Classification
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