Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Acoustics, Communication engineering and systems
Abstract
Investigating the emotional content in speech from acoustic characteristics requires separating the semantic con- tent from the acoustic channel. For natural emotional speech, a widely used method to separate the two channels is the use of cue masking. Our objective is to investigate the use of cue masking in non-acted emotional speech by analyzing the extent to which filtering impacts the perception of emotional content of the modified speech material. However, obtaining a corpus of emotional speech can be quite difficult whereby verifying the emotional content is an issue thoroughly discussed. Currently, speech research is showing a tendency toward constructing corpora of natural emotion expression. In this paper we outline the procedure used to obtain the corpus containing high audio quality and ‘natural’ emotional speech. We review the use of Mood Induction Procedures which provides a method to obtain spontaneous emotional speech in a controlled environment. Following this, we propose an experiment to investigate the effects of cue masking on natural emotional speech.
Recommended Citation
Snel, J. & Cullen, C. (2011) Obtaining speech assets for judgement analysis on low-pass filtered emotional speech. EmoSPACE 2011 workshop (in conjunction with IEEE FG 2011 conference),
Funder
Science Foundation Ireland (SFI)
Included in
Other Computer Engineering Commons, Other Psychology Commons, Other Social and Behavioral Sciences Commons, Philosophy of Mind Commons, Science and Technology Studies Commons, Speech and Rhetorical Studies Commons
Publication Details
Presented at the EmoSPACE 2011 workshop (in conjunction with IEEE FG 2011 conference)