Work

Improving Music Genre Classification Using Automatically Induced Harmony Rules

Year: 2010

Type: article

Source: Journal of New Music Research

DOI: 10.1080/09298215.2010.525654

Authors: Amélie Anglade, Emmanouil Benetos, Matthias Mauch, Simon Dixon

Institutions: Queen Mary University of London, National Institute of Advanced Industrial Science and Technology

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Universidad de Alicante, Queen Mary University of London, Engineering and Physical Sciences Research Council

Awards: G1328280616, OMRAS2: A Distributed Research Environment for Music Informatics and Computational Musicology, G6812152835

OpenAlex ID: W2061403897

FWCI: 2.948

Cites: 45

Cited by: 37

Related to: 10