AES E-Library

AES E-Library

Automatic Soundscape Affect Recognition Using A Dimensional Approach

Document Thumbnail

Soundscape studies have demonstrated a variety of approaches for investigating how soundscapes affect is part of immersive experiences. This research tries to develop an automatic affect recognition system that soundscape composers can use to create emotional compositions to evoke a target mood. In addition, this system can offer sound designers a more streamlined workflow for creating suitable sound effects for films and can offer engineers a way to design mood-enabled recommendation systems for retrieval of soundscape recordings. This research uses ground truth data collected from an online survey, and an analysis of the corpus shows that participants have a high level of agreement on the valence and arousal of soundscapes. The authors then generated a gold standard by averaging user responses. The propose system obtained better results than an expert-user model.

Authors:
Affiliation:
JAES Volume 64 Issue 9 pp. 646-653; September 2016
Publication Date:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=18373

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

DOI:

Start a discussion about this paper!


AES - Audio Engineering Society