Sine-wave speech recognition in a tonal language | Zendy

Yanmei Feng | Zendy; Li Xu | Zendy; Ning Zhou | Zendy; Guang Yang | Zendy; Shankai Yin | Zendy

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Sine-wave speech recognition in a tonal language

Author(s) -

Yanmei Feng,

Li Xu,

Ning Zhou,

Guang Yang,

Shankai Yin

Publication year - 2012

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.3670594

Subject(s) - mandarin chinese , sine wave , tone (literature) , sentence , speech recognition , computer science , sine , acoustics , feature (linguistics) , sine qua non , natural language processing , linguistics , mathematics , physics , philosophy , geometry , quantum mechanics , voltage

It is hypothesized that in sine-wave replicas of natural speech, lexical tone recognition would be severely impaired due to the loss of F0 information, but the linguistic information at the sentence level could be retrieved even with limited tone information. Forty-one native Mandarin-Chinese-speaking listeners participated in the experiments. Results showed that sine-wave tone-recognition performance was on average only 32.7% correct. However, sine-wave sentence-recognition performance was very accurate, approximately 92% correct on average. Therefore the functional load of lexical tones on sentence recognition is limited, and the high-level recognition of sine-wave sentences is likely attributed to the perceptual organization that is influenced by top-down processes.

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