JOURNAL ARTICLE

Identification of Mandarin tones by English-speaking musicians and nonmusicians

Chao‐Yang LeeTsun-Hui Hung

Year: 2008 Journal:   The Journal of the Acoustical Society of America Vol: 124 (5)Pages: 3235-3248   Publisher: Acoustical Society of America

Abstract

This study examined Mandarin tone identification by 36 English-speaking musicians and 36 nonmusicians and musical note identification by the musicians. In the Mandarin task, participants were given a brief tutorial on Mandarin tones and identified the tones of the syllable sa produced by 32 speakers. The stimuli included intact syllables and acoustically modified syllables with limited F0 information. Acoustic analyses showed considerable overlap in F0 range among the tones due to the presence of multiple speakers. Despite no prior experience with Mandarin, the musicians identified intact tones at 68% and silent-center tones at 54% correct, both exceeding chance (25%). The musicians also outperformed the nonmusicians, who identified intact tones at 44% and silent-center tones at 36% correct. These results indicate musical training facilitated lexical tone identification, although the facilitation varied as a function of tone and the type of acoustic input. In the music task, the musicians listened to synthesized musical notes of three timbres and identified the notes without a reference pitch. Average identification accuracy was at chance level even when multiple semitone errors were allowed. Since none of the musicians possessed absolute pitch, the role of absolute pitch in Mandarin tone identification remains inconclusive.

Keywords:
Mandarin Chinese Semitone Tone (literature) Syllable Identification (biology) Audiology Psychology Acoustics Speech recognition Pitch (Music) Musical tone Linguistics Computer science Perception Medicine Physics

Metrics

174
Cited By
2.22
FWCI (Field Weighted Citation Impact)
38
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neuroscience and Music Perception
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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