English vowel identification in quiet and noise: effects of listeners' native language background.
OBJECTIVE
To investigate the effect of listener's native language (L1) and the types of noise on English vowel identification in noise.


METHODS
Identification of 12 English vowels was measured in quiet and in long-term speech-shaped noise and multi-talker babble (MTB) noise for English- (EN), Chinese- (CN) and Korean-native (KN) listeners at various signal-to-noise ratios (SNRs).


RESULTS
Compared to non-native listeners, EN listeners performed significantly better in quiet and in noise. Vowel identification in long-term speech-shaped noise and in MTB noise was similar between CN and KN listeners. This is different from our previous study in which KN listeners performed better than CN listeners in English sentence recognition in MTB noise.


CONCLUSIONS
RESULTS from the current study suggest that depending on speech materials, the effect of non-native listeners' L1 on speech perception in noise may be different. That is, in the perception of speech materials with little linguistic cues like isolated vowels, the characteristics of non-native listener's native language may not play a significant role. On the other hand, in the perception of running speech in which listeners need to use more linguistic cues (e.g., acoustic-phonetic, semantic, and prosodic cues), the non-native listener's native language background might result in a different masking effect.
Department of Communication Sciences and Disorders, University of Texas at Austin Austin, TX, USA.
Su-Hyun
SH
Jin
Department of Communication Sciences and Disorders, University of Texas at Austin Austin, TX, USA.
Chang
C
Liu
bilingual; english vowel identification in noise; masking release; multi-talker babble noise; native language; speech perception