Linked Life Data

17683236

Source:http://linkedlifedata.com/resource/pubmed/id/17683236

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-8-8
pubmed:abstractText
Recent studies have shown that the face and voice of an unfamiliar person can be matched for identity. Here the authors compare the relative effects of changing sentence content (what is said) and sentence manner (how it is said) on matching identity between faces and voices. A change between speaking a sentence as a statement and as a question disrupted matching performance, whereas changing the sentence itself did not. This was the case when the faces and voices were from the same race as participants and speaking a familiar language (English; Experiment 1) or from another race and speaking an unfamiliar language (Japanese; Experiment 2). Altering manner between conversational and clear speech (Experiment 3) or between conversational and casual speech (Experiment 4) was also disruptive. However, artificially slowing (Experiment 5) or speeding (Experiment 6) speech did not affect cross-modal matching performance. The results show that bimodal cues to identity are closely linked to manner but that content (what is said) and absolute tempo are not critical. Instead, prosodic variations in rhythmic structure and/or expressiveness may provide a bimodal, dynamic identity signature.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0096-1523
pubmed:author
pubmed:copyrightInfo
(c) 2007 APA, all rights reserved
pubmed:issnType
Print
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
905-14
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
It's not what you say but the way you say it: matching faces and voices.
pubmed:affiliation
School of Psychological Sciences, University of Manchester, Manchester, United Kingdom. karen.lander@manchester.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't