Literature DB >> 11325135

Influence of emotion and focus location on prosody in matched statements and questions.

M D Pell1.   

Abstract

Preliminary data were collected on how emotional qualities of the voice (sad, happy, angry) influence the acoustic underpinnings of neutral sentences varying in location of intra-sentential focus (initial, final, no) and utterance "modality" (statement, question). Short (six syllable) and long (ten syllable) utterances exhibiting varying combinations of emotion, focus, and modality characteristics were analyzed for eight elderly speakers following administration of a controlled elicitation paradigm (story completion) and a speaker evaluation procedure. Duration and fundamental frequency (f0) parameters of recordings were scrutinized for "keyword" vowels within each token and for whole utterances. Results generally re-affirmed past accounts of how duration and f0 are encoded on key content words to mark linguistic focus in affectively neutral statements and questions for English. Acoustic data on three "global" parameters of the stimuli (speech rate, mean f0, f0 range) were also largely supportive of previous descriptions of how happy, sad, angry, and neutral utterances are differentiated in the speech signal. Important interactions between emotional and linguistic properties of the utterances emerged which were predominantly (although not exclusively) tied to the modulation of f0; speakers were notably constrained in conditions which required them to manipulate f0 parameters to express emotional and nonemotional intentions conjointly. Sentence length also had a meaningful impact on some of the measures gathered.

Mesh:

Year:  2001        PMID: 11325135     DOI: 10.1121/1.1352088

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  15 in total

1.  Contextual influences of emotional speech prosody on face processing: how much is enough?

Authors:  Silke Paulmann; Marc D Pell
Journal:  Cogn Affect Behav Neurosci       Date:  2010-05       Impact factor: 3.282

2.  Neural basis of first and second language processing of sentence-level linguistic prosody.

Authors:  Jackson Gandour; Yunxia Tong; Thomas Talavage; Donald Wong; Mario Dzemidzic; Yisheng Xu; Xiaojian Li; Mark Lowe
Journal:  Hum Brain Mapp       Date:  2007-02       Impact factor: 5.038

3.  Perception of Native English Reduced Forms in Adverse Environments by Chinese Undergraduate Students.

Authors:  Simpson W L Wong; Jenny K Y Tsui; Bonnie Wing-Yin Chow; Vina W H Leung; Peggy Mok; Kevin Kien-Hoa Chung
Journal:  J Psycholinguist Res       Date:  2017-10

4.  Intonation and emotion in autistic spectrum disorders.

Authors:  Kathleen Hubbard; Doris A Trauner
Journal:  J Psycholinguist Res       Date:  2007-03

5.  The Mandarin Chinese auditory emotions stimulus database: A validated set of Chinese pseudo-sentences.

Authors:  Bingyan Gong; Na Li; Qiuhong Li; Xinyuan Yan; Jing Chen; Liang Li; Xihong Wu; Chao Wu
Journal:  Behav Res Methods       Date:  2022-05-31

6.  Processing emotional tone from speech in Parkinson's disease: a role for the basal ganglia.

Authors:  Marc D Pell; Carol L Leonard
Journal:  Cogn Affect Behav Neurosci       Date:  2003-12       Impact factor: 3.282

7.  Feeling backwards? How temporal order in speech affects the time course of vocal emotion recognition.

Authors:  Simon Rigoulot; Eugen Wassiliwizky; Marc D Pell
Journal:  Front Psychol       Date:  2013-06-24

8.  On the time course of vocal emotion recognition.

Authors:  Marc D Pell; Sonja A Kotz
Journal:  PLoS One       Date:  2011-11-07       Impact factor: 3.240

9.  The Effects of Meaning and Emotional Content of a Sentence on the Kinematics of a Successive Motor Sequence Mimiking the Feeding of a Conspecific.

Authors:  Elisa De Stefani; Doriana De Marco; Maurizio Gentilucci
Journal:  Front Psychol       Date:  2016-05-09

10.  Emotional speech processing at the intersection of prosody and semantics.

Authors:  Rachel Schwartz; Marc D Pell
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

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