JOURNAL ARTICLE

English vowels produced by Cantonese–English bilingual speakers

Yang ChenManwa L. NgTieshan Li

Year: 2012 Journal:   International Journal of Speech-Language Pathology Vol: 14 (6)Pages: 557-568   Publisher: Taylor & Francis

Abstract

The present study attempted to test the postulate that sounds of a foreign language that are familiar can be produced with less accuracy than sounds that are new to second language (L2) learners. The first two formant frequencies (F1 and F2) were obtained from the 11 English monophthong vowels produced by 40 Cantonese-English (CE) bilingual and 40 native American English monolingual speakers. Based on F1 and F2, compact-diffuse (C-D) and grave-acute (G-A) values, and Euclidean Distance (ED) associated with the English vowels were evaluated and correlated with the perceived amount of accent present in the vowels. Results indicated that both male and female CE speakers exhibited different vowel spaces compared to their AE counterparts. While C-D and G-A indicated that acquisition of familiar and new vowels were not particularly different, ED values suggested better performance in CE speakers' productions of familiar vowels over new vowels. In conclusion, analyses based on spectral measurements obtained from the English vowel sounds produced by CE speakers did not provide favourable evidence to support the Speech Learning Model (SLM) proposed by Flege (1995) . Nevertheless, for both familiar and new sounds, English back vowels were found to be produced with greater inaccuracy than English front vowels.

Keywords:
Vowel Stress (linguistics) Formant Linguistics American English Psychology Speech recognition Computer science

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
51
Refs
0.13
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence

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