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2009 WRI World Congress on Computer Science and Information Engineering
A New Pitch Detection Algorithm Based on RCAF
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Index Terms:
Pitch detection, Expanded Spectral Subtraction, Reverse CAMDF Autocorrelation Function
Citation:
Wang Yue, Qian Zhihong, Zhang Ying, "A New Pitch Detection Algorithm Based on RCAF," csie, vol. 6, pp.126-130, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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