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Obtaining speech assets for judgement analysis on low-pass filtered emotional speech

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2 Author(s)
Snel, J. ; Digital Media Centre, Dublin Inst. of Technol., Dublin, Ireland ; Cullen, C.

Investigating the emotional content in speech from acoustic characteristics requires separating the semantic content 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.

Published in:

Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on

Date of Conference:

21-25 March 2011

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