Log in to save to my catalogue

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio f...

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio f...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00779_020_01389_0

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks

About this item

Full title

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks

Publisher

London: Springer London

Journal title

Personal and ubiquitous computing, 2021-08, Vol.25 (4), p.637-650

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

The field of Music Emotion Recognition has become and established research sub-domain of Music Information Retrieval. Less attention has been directed towards the counterpart domain of Audio Emotion Recognition, which focuses upon detection of emotional stimuli resulting from non-musical sound. By better understanding how sounds provoke emotional r...

Alternative Titles

Full title

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1007_s00779_020_01389_0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1007_s00779_020_01389_0

Other Identifiers

ISSN

1617-4909

E-ISSN

1617-4917

DOI

10.1007/s00779-020-01389-0

How to access this item