Machine recognition of music emotion: A review

YH Yang, HH Chen - ACM Transactions on Intelligent Systems and …, 2012 - dl.acm.org
The proliferation of MP3 players and the exploding amount of digital music content call for
novel ways of music organization and retrieval to meet the ever-increasing demand for easy …

Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review

YVS Murthy, SG Koolagudi - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

FMA: A dataset for music analysis

M Defferrard, K Benzi, P Vandergheynst… - arXiv preprint arXiv …, 2016 - arxiv.org
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …

Semantic annotation and retrieval of music and sound effects

D Turnbull, L Barrington, D Torres… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
We present a computer audition system that can both annotate novel audio tracks with
semantically meaningful words and retrieve relevant tracks from a database of unlabeled …

[PDF][PDF] Design and creation of a large-scale database of structural annotations.

JBL Smith, JA Burgoyne, I Fujinaga, D De Roure… - ISMIR, 2011 - academia.edu
This paper describes the design and creation of an unprecedentedly large database of over
2400 structural annotations of nearly 1400 musical recordings. The database is intended to …

Towards musical query-by-semantic-description using the cal500 data set

D Turnbull, L Barrington, D Torres… - Proceedings of the 30th …, 2007 - dl.acm.org
Query-by-semantic-description (QBSD) is a natural paradigm for retrieving content from
large databases of music. A major impediment to the development of good QBSD systems …

NHSS: A speech and singing parallel database

B Sharma, X Gao, K Vijayan, X Tian, H Li - Speech Communication, 2021 - Elsevier
We present a database of parallel recordings of speech and singing, collected and released
by the Human Language Technology (HLT) laboratory at the National University of …

Automatic music classification with jMIR

C McKay - 2010 - escholarship.mcgill.ca
La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …

Musical structural analysis database based on GTTM

M Hamanaka, K Hirata, S Tojo - 2014 - dspace02.jaist.ac.jp
This paper, we present the publication of our analysis data and analyzing tool based on the
generative theory of tonal music (GTTM). Musical databases such as score databases …

Study and analysis of feature based automatic music genre classification using Gaussian mixture model

C Kaur, R Kumar - 2017 International conference on inventive …, 2017 - ieeexplore.ieee.org
Music genre classification is a very popular tool used extensively in music industry all over
the world. The information of rhythmic structure, instrumentation, and harmonic content …