A survey of evaluation in music genre recognition

BL Sturm - International Workshop on Adaptive Multimedia …, 2012 - Springer
Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

Generalizability and simplicity as criteria in feature selection: Application to mood classification in music

P Saari, T Eerola, O Lartillot - IEEE Transactions on audio …, 2010 - ieeexplore.ieee.org
Classification of musical audio signals according to expressed mood or emotion has evident
applications to content-based music retrieval in large databases. Wrapper selection is a …

Music genre classification based on local feature selection using a self-adaptive harmony search algorithm

YF Huang, SM Lin, HY Wu, YS Li - Data & Knowledge Engineering, 2014 - Elsevier
This paper proposes an automatic music genre-classification system based on a local
feature-selection strategy by using a self-adaptive harmony search (SAHS) algorithm. First …

Large-scale music genre analysis and classification using machine learning with apache spark

M Chaudhury, A Karami, MA Ghazanfar - Electronics, 2022 - mdpi.com
The trend for listening to music online has greatly increased over the past decade due to the
number of online musical tracks. The large music databases of music libraries that are …

A study on feature selection and classification techniques of Indian music

P Kalapatapu, S Goli, P Arthum, A Malapati - Procedia Computer Science, 2016 - Elsevier
In this paper we present the effect of four feature selection algorithms namely genetic
algorithm, Forward feature selection, information gain and correlation based on four different …

From genre classification to rhythm similarity: Computational and musicological insights

TM Esparza, JP Bello, EJ Humphrey - Journal of New Music …, 2015 - Taylor & Francis
Traditionally, the development and validation of computational measures of rhythmic
similarity in music relies on proxy classification tasks, often equating rhythm similarity to …

Classification Of Javanese Script Using Convolutional Neural Network With Data Augmentation

MM Al Haromainy, AN Sihananto… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Javanese is a language widely used by people living on the island of Java. The Javanese
language was initially compiled using the Javanese script, not Latin. Many historical objects …

[PDF][PDF] Using decision tree C4. 5 algorithm to predict VARK learning styles

O Pantho, M Tiantong - International Journal of the Computer, the …, 2016 - academia.edu
This research has an objective to classify VARK learning styles of learners by using
Decision Tree C4. 5 algorithm. Data concerning learning styles of learners were collected …

Genre classification of songs using neural network

A Goel, M Sheezan, S Masood… - … on Computer and …, 2014 - ieeexplore.ieee.org
The objective here is to eliminate the manual work of classifying genres of song in each
song. With this startup work songs can be classified in real-time and proposed parallel …

Characterization of movie genre based on music score

A Austin, E Moore, U Gupta… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
While it is clear that the full emotional effect of a movie scene is carried through the
successful interpretation of audio and visual information, music still carries a significant …