유성음/무성음 분리를 이용한 잡음처리 Speech Enhancement Based on Voice/Unvoice Classification

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In this paper, a nobel method to reduce noise using voice/unvoice classification is proposed. Voice and unvoice are an important feature of speech and the proposed method processes noisy speech differently for each voice/unvoice part. Speech is classified into voice/unvoice using zero-crossing rate and energy, and a modified speech/noise dominant-decision is proposed based on voice/unvoice classification. The proposed method was tested on conditions of white noise and airplane noise, and on the basis of comparing segmental SNR with the existing method and listening to the enhanced speech, a performance of the proposed method was superior to that of the existing method.
Publisher
한국음향학회
Issue Date
2002-05
Language
Korean
Citation

한국음향학회지, v.21, no.4, pp.374 - 379

ISSN
1225-4428
URI
http://hdl.handle.net/10203/86005
Appears in Collection
EE-Journal Papers(저널논문)
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