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http://dx.doi.org/10.7776/ASK.2010.29.2.148

IMBE Model Based SNR Estimation of Continuous Speech Signals  

Park, Hyung-Woo (숭실대학교 정보통신공학학과)
Bae, Myung-Jin (숭실대학교 정보통신공학학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.29, no.2, 2010 , pp. 148-153 More about this Journal
Abstract
In speech signal processing, speech signal corrupted by noise should be enhanced to improve quality. Usually noise estimation methods need flexibility for variable environment. Noise profile is renewed on silence region to avoid effects of speech properties. So we have to preprocess finding voice region before noise estimation. However, if received signal does not have silence region, we cannot apply that method. In this paper, we proposed SNR estimation method for continuous speech signal. A Speech signal consists of Voice and Unvoiced Band in The MBE excitation model. And the energy of speech signal is mostly distributed on voiced region, so we can estimate SNR by the ratio of voiced region energy to unvoiced. We use the IMBE vocoder for the Voice or Unvoice band of segmented speech signal. Continuously we calculate the segmented SNR using that information and the energy of each band. And we estimate the SNR of continuous speech signal.
Keywords
SNR Estimation; Continuous Speech; IMBE Model; Energy Compare;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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