Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 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, Qian Zhihong, Zhang Ying, "A New Pitch Detection Algorithm Based on RCAF", Computer Science and Information Engineering, World Congress on, vol. 06, no. , pp. 126-130, 2009, doi:10.1109/CSIE.2009.382