Investigating Acoustic Cues of Emotional Valence in Mandarin Speech Prosody - A Corpus Approach

Junlin Li (Corresponding Author), Chu Ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The impact of emotion on prosody in the context of speech communication has yielded inconclusive results when it comes to the prosodic patterns associated with high-arousal emotions of different emotional valences, such as “Happy” and “Anger”. To clarify the existing ambiguity, this study utilized an emotional speech database to examine prosodic metrics of multi-word verbal speech. The findings suggest that tempo is more of a reliable measure than pitch in conveying emotional valance. The syllables towards the end of a sentence are the most crucial in conveying valence or size projection, while non-final syllables provide a limited indication of valence or size projection.

Original languageEnglish
Title of host publicationChinese Lexical Semantics
Subtitle of host publication24th Workshop, CLSW 2023, Singapore, Singapore, May 19–21, 2023, Revised Selected Papers, Part II
EditorsMinghui Dong, Jia-Fei Hong, Jingxia Lin, Peng Jin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages316-330
Number of pages15
ISBN (Electronic)9789819705863
ISBN (Print)9789819705856
DOIs
Publication statusPublished - 28 Feb 2024
Event24th Workshop on Chinese Lexical Semantics, CLSW 2023 - Singapore, Singapore
Duration: 19 May 202321 May 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14515 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th Workshop on Chinese Lexical Semantics, CLSW 2023
Country/TerritorySingapore
CitySingapore
Period19/05/2321/05/23

Keywords

  • Emotion
  • Emotional Valence
  • Prosody
  • Size-projection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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