Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Speech Communicationarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Speech Communication
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Speech Communication
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
http://dx.doi.org/10.1016/j.sp...
Article . 2015 . Peer-reviewed
Data sources: SNSF P3 Database
DBLP
Article . 2020
Data sources: DBLP
versions View all 3 versions
addClaim

Speaker-invariant suprasegmental temporal features in normal and disguised speech

Authors: Adrian Leemann; Marie-José Kolly;

Speaker-invariant suprasegmental temporal features in normal and disguised speech

Abstract

Bern and Zurich German differ in suprasegmental temporal features.Suprasegmental temporal features remain speaker-specific when a speaker imitates a dialect.Successful imitators adjust speaking rate and global peak-to-peak variability, among others.Suprasegmental temporal information can potentially enhance forensic voice comparison. Cases of blackmailing and kidnapping often involve the perpetrator disguising his voice. In the present contribution, we examined the degree to which one exemplary form of voice disguise - the imitation of a foreign dialect - affects suprasegmental temporal features. Results of two production experiments and one perception test revealed high between-speaker and low within-speaker variability across the disguise condition. Results from the perception test further underlined the difficulty of the imitation task, as the majority of speakers were not accepted as native speakers by listeners of the target dialect. At the same time, the high rate of rejections of imitations as authentic speech indicates a high sensitivity and dialectal awareness on the part of the listeners. Findings suggest that those imitators who were accepted as native speakers may have been accepted partly because they succeeded in adjusting speaking rate and global intensity peak variability to that of the target dialect, amongst other factors.

Country
United Kingdom
Keywords

150, 400

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
hybrid