Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.382
A new pitch detection of noisy speech signal for lower SNR is proposed in this paper. This method is a novel algorithm of Reverse CAMDF Autocorrelation Function (RCAF) pitch extraction from noisy speech based on searching and tentative smooth measure. The algorithm can estimate noise during speech presence, which employs the method of expanded spectral subtraction based on the noise compensation structure. A number of experiments show that by the RCAF method, higher efficiency and better detection accuracy can be obtained while the SNR is equal to -10dB. However, such performance cannot be achieved by traditional methods, AMDF, CAMDF and AWAC with the same SNR.
Pitch detection, Expanded Spectral Subtraction, Reverse CAMDF Autocorrelation Function
Wang Yue, Zhang Ying, "A New Pitch Detection Algorithm Based on RCAF", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 126-130, doi:10.1109/CSIE.2009.382