Judging emotion from low-pass filtered naturalistic emotional speech

John Snel, Charlie Cullen

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

Abstract

In speech, low frequency regions play a significant role in paralinguistic communication such as the conveyance of emotion or mood. The extent to which lower frequencies signify or contribute to affective speech is still an area for investigation. To investigate paralinguistic cues, and remove interference from linguistic cues, researchers can low-pass filter the speech signal on the assumption that certain acoustic cues characterizing affect are still discernible. Low-pass filtering is a practical technique to investigate paralinguistic phenomena, and is used here to investigate the inference of naturalistic emotional speech. This paper investigates how listeners perceive the level of Activation, and evaluate negative and positive levels, on low-pass filtered naturalistic speech, which has been developed through the use of Mood Inducing Procedures.

Original languageEnglish
Title of host publicationProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Pages336-342
Number of pages7
DOIs
Publication statusPublished - 2013
Event2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 - Geneva, Switzerland
Duration: 2 Sep 20135 Sep 2013

Publication series

NameProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013

Conference

Conference2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Country/TerritorySwitzerland
CityGeneva
Period2/09/135/09/13

Keywords

  • Emotion in speech
  • Emotional dimensions
  • Low-pass filtering
  • Mood Inducing Procedures

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