Abstract
This letter proposes a new method for concurrent voiced speech separation. Firstly the Wrapped Discrete Fourier Transform (WDFT) is used to decompose the harmonic spectra of the mixed speeches. Then the individual speech is reconstructed by using the sinusoidal speech model. By taking advantage of the non-uniform frequency resolution of WDFT, harmonic spectra parameters can be estimated and separated accurately. Experimental results on mixed vowels separation show that the proposed method can recover the original speeches effectively.
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Supported by the National Natural Science Foundation of China (No.60172048).
Communication author: Zhang Xichun, born in 1963, male, Ph.D. student. School of Electronic and Info. Eng., South China Univ. of Tech., Guangzhou 510640, China.
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Zhang, X., Li, Y., Zhang, J. et al. Concurrent speeches separation using Wrapped Discrete Fourier Transform. J. of Electron.(China) 22, 427–430 (2005). https://doi.org/10.1007/BF02687914
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DOI: https://doi.org/10.1007/BF02687914