Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Modelling emotions in music : advances in conceptual, contextual and validity issues.

Eerola, T. (2014) 'Modelling emotions in music : advances in conceptual, contextual and validity issues.', in Audio Engineering Society conference : 53rd AES International Conference : semantic audio, 27-29 January 2014, London, UK ; proceedings. , S1-1.

Abstract

Modelling emotion recognition and induction by music has garnered increased attention during the last years. The present work puts together observations of the issues that need attention in order to make advances in music emotion recognition. These are divided into conceptual, contextual and data validity issues. Within each issue, the central dilemmas are discussed and promising further avenues are presented. In conceptual issues, significant discrepancies in the terminologies and choices for emotion focus and models exist. In contextual issues, the primary area of improvement is incorporating music and user contexts into emotion recognition. For the validity of data, reliable estimation of mid-level musical concepts require significant attention and optimal combination of studies with high validity and high stimulus quantity is the key to robust music emotion recognition models.

Item Type:Book chapter
Full text:Publisher-imposed embargo
(AM) Accepted Manuscript
File format - PDF
(257Kb)
Status:Peer-reviewed
Publisher Web site:http://www.aes.org/e-lib/browse.cfm?elib=17122
Date accepted:No date available
Date deposited:21 October 2014
Date of first online publication:27 January 2014
Date first made open access:No date available

Save or Share this output

Export:
Export
Look up in GoogleScholar