한국음향학회지 (The Journal of the Acoustical Society of Korea)
- 제1권1호
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- Pages.45-53
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- 1982
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- 1225-4428(pISSN)
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- 2287-3775(eISSN)
자기 상관감법에 의한 잡음음성의 개선된 LPC 해석
Improving LPC Analysis of Noisy Speech by Autocorrelation Subtraction Method
초록
A robust linear predictive coding method that can be used in noisy as well as quiet environment has been studied. In this method, noise autocorrelation coeffieients are first obtained and updated during nonspeech periods. Then, the effect of additive noise in the input speech is removed by subtracting values of the noise autocorrelation coefficients of corrupted speech in the course of computation of linear prediction coefficients. When signal-to-noise ratio of the input speech ranges from 0 to 10 dB, a performance improvement of about 5 dB can be gained by using this method. The proposed method is computationally very efficient and requires a small storage area.
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