2020
DOI: 10.1121/10.0002462
|View full text |Cite
|
Sign up to set email alerts
|

Acoustic and linguistic features influence talker change detection

Abstract: A listening test is proposed in which human participants detect talker changes in two natural, multi-talker speech stimuli sets-a familiar language (English) and an unfamiliar language (Chinese). Miss rate, false-alarm rate, and response times (RT) showed a significant dependence on language familiarity. Linear regression modeling of RTs using diverse acoustic features derived from the stimuli showed recruitment of a pool of acoustic features for the talker change detection task. Further, benchmarking the same… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 27 publications
0
2
0
Order By: Relevance
“…LFE means that listeners perform better in native voice identity processing compared to that of nonnative voice identity processing. The superiority of the native language was first proposed by Thompson (1987) and has been widely demonstrated in the field of voice identity recognition ( Goggin et al, 1991 ; Zarate et al, 2015 ) and voice identity discrimination ( Winters et al, 2008 ; Wester, 2012 ; Sharma et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…LFE means that listeners perform better in native voice identity processing compared to that of nonnative voice identity processing. The superiority of the native language was first proposed by Thompson (1987) and has been widely demonstrated in the field of voice identity recognition ( Goggin et al, 1991 ; Zarate et al, 2015 ) and voice identity discrimination ( Winters et al, 2008 ; Wester, 2012 ; Sharma et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…In the present study, we focus on the perceptual categorization of non-vocal material into speech-like vs. music-like, as well as the role of familiarity in shaping these categories. Familiarity/culture effects on the perception of speech and music are well-described ( Palmer and Krumhansl, 1987 ; Morrison and Demorest, 2009 ; Perrachione et al, 2011 ; Bregman and Creel, 2014 ; Sharma et al, 2020 ). With respect to timbre, familiar sound sources are recognized more quickly than unfamiliar ones ( Siedenburg and McAdams, 2016 ).…”
Section: Introductionmentioning
confidence: 99%