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Speech Enhancement Based on Voice/Unvoice Classification  

유창동 (한국과학기술원 전기 및 전자공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.4, 2002 , pp. 374-379 More about this Journal
Abstract
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.
Keywords
Speech enhancement; Speech/noise-dominant decision; Voice/unvoice classification; Masking;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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