JOURNAL ARTICLE

Mandarin Chinese vowel and tone identification in noise: Effects of native English experience

Mingshuang LiWenjing WangSha TaoQi DongJingjing GuanChang Liu

Year: 2015 Journal:   The Journal of the Acoustical Society of America Vol: 137 (4_Supplement)Pages: 2379-2379   Publisher: Acoustical Society of America

Abstract

Several studies found differences in English vowel identification between Chinese-native listeners in the United States (CNU) and China (CNC) in multi-talkers babble (MTB) and temporally modulated (TM) noise, but not in quiet condition. Two possible explanations were proposed: first, CNU listeners used temporal modulation of noise more efficiently than CNC listeners; second, CNU listeners had less informational masking of MTB than their CNC peers. The current study aimed at exploring whether the difference in noise processing between CNU and CNC listeners was also presented for their native speech perception. Chinese vowel and tone identifications were measured for CNU and CNC in quiet, stationary and TM noise, babble-modulated noise and MTB. The identification scores of CNU listeners were significantly higher than CNC listeners in most noisy backgrounds, whereas both groups had the same performance in quiet. Moreover, compared with CNC listeners, CNU listeners gained greater masking releases from temporal modulation in noise at low SNRs, while the informational masking was comparable between the two groups. In conclusion, the 1–3 year residency in English-speaking country may improve Chinese-native listeners’ capacity to use temporal cues in noise, but may not improve their ability against informational masking of English babble when listening to their native speech.

Keywords:
QUIET Mandarin Chinese Masking (illustration) Noise (video) Tone (literature) Active listening Vowel Speech recognition Speech perception Perception Audiology Acoustics Computer science Psychology Linguistics Communication Physics Medicine Artificial intelligence Art

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Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Acoustic Wave Phenomena Research
Physical Sciences →  Engineering →  Biomedical Engineering

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