The Role of TFS in Speech Perception

2014 ◽  
pp. 81-102 ◽  
Keyword(s):  
Speech Perception

The role of attention in speech perception by young infants

1990 ◽  
Vol 5 (3) ◽  
pp. 265-286 ◽  
Author(s):  
Peter W. Jusczyk ◽  
Josiane Bertoncini ◽  
Ranka Bijeljac-Babic ◽  
Lori J. Kennedy ◽  
Jacques Mehler
Keyword(s):  
Speech Perception ◽  
Young Infants

The role of suprasegmentals in speech perception and acquisition

2012 ◽  
pp. 145-170 ◽  
Author(s):  
Jacques Mehler ◽  
Josiane Bertoncini ◽  
Emmanuel Dupoux ◽  
Christophe Pallier
Keyword(s):  
Speech Perception

The role of left vs. right superior temporal gyrus in speech perception: An fMRI-guided TMS study

2020 ◽  
Vol 209 ◽  
pp. 104838
Author(s):  
Aurora I. Ramos Nuñez ◽  
Qiuhai Yue ◽  
Siavash Pasalar ◽  
Randi C. Martin
Keyword(s):  
Speech Perception ◽  
Superior Temporal Gyrus

Same stimuli, same subjects, different perception

2018 ◽  
Vol 4 (2) ◽  
pp. 231-252
Author(s):  
Marjoleine Sloos ◽  
Wang Lei
Keyword(s):  
Speech Perception ◽  
Higher Order ◽  
The Other ◽  
Linguistic Knowledge ◽  
Lexical Tone ◽  
Biased Perception

Abstract Believed dialect influences speech perception by linguistically naïve speakers. How much accent-induced bias affects perception of linguistically trained speakers is still unclear. This study experimentally investigates the influence of believed dialect on plosive perception by subjects who were phonetically and phonologically trained. Identical syllables were presented twice to each subject. In one session, the subjects were informed that the variety was a Mandarin dialect which has voiceless unaspirated and aspirated voiceless stops; and in the other session that it was a Wu dialect, which has voiceless unaspirated, voiceless aspirated, and breathy stops. More breathy stops were reported if Wu was the believed dialect. Plosive phonation in Wu is related to lexical tone, and we show that lexical tone causes another bias to plosive perception. This suggests that linguistically trained transcribers are susceptible to higher order linguistic knowledge and it demonstrates the difficulty of avoiding biased perception when the coder forms a belief about the variety that he/she transcribes. We also advocate speech perception models which include a component that accounts for the role of expected sounds.

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