Tampere University of Technology

TUTCRIS Research Portal

BEADS: A dataset of Binaural Emotionally Annotated Digital Sounds

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationInformation, Intelligence, Systems and Applications, IISA 2014, The 5th International Conference on
PublisherIEEE
Pages158-163
Number of pages6
ISBN (Electronic)978-1-4799-6171-9
DOIs
Publication statusPublished - 1 Jul 2014
Externally publishedYes
Publication typeA4 Article in a conference publication

Abstract

Emotion recognition from generalized sounds is an interdisciplinary and emerging field of research. A vital requirement for this kind of investigations is the availability of ground truth datasets. Currently, there are 2 freely available datasets of emotionally annotated sounds, which, however, do not include sound evenets (SEs) with manifestation of the spatial location of the source. The latter is an inherent natural component of SEs, since all sound sources in real-world conditions are physically located and perceived somewhere in the listener's surrounding space. In this work we present a novel emotionally annotated sounds dataset consisting of 32 SEs that are spatially rendered using appropriate binaural processing. All SEs in the dataset are available in 5 spatial positions corresponding to source/receiver angles equal to 0, 45, 90, 135 and 180 degrees. We have used the IADS dataset as the initial collection of SEs prior to binaural processing. The annotation measures obtained for the novel binaural dataset demonstrate a significant accordance with the existing IADS dataset, while small ratings declinations illustrate a perceptual adaptation imposed by the more realistic SEs spatial representation.

Keywords

  • emotion recognition, music, BEADS, IADS dataset, SEs spatial representation, binaural dataset, binaural emotionally annotated digital sounds, binaural processing, emotionally annotated sound dataset, ground truth datasets, music signals, sound evenets, Acoustics, Art, Databases, Electronic mail, Emotion recognition, Headphones, Semantics

Publication forum classification