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ICASSP
2009
IEEE

Monaural voiced speech segregation based on elaborate harmonic grouping strategy

9 years 7 months ago
Monaural voiced speech segregation based on elaborate harmonic grouping strategy
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies are used to segregate resolved and unresolved harmonics respectively. For resolved harmonics, "harmonicity" principle and a novel mechanism based on "minimum amplitude" principle are employed. Amplitude modulation rate is extracted by "enhanced" autocorrelation function of envelope to segregate unresolved harmonics which is more robust than previous method. An elaborate rule is also introduced to determine the regions dominated by resolved and by unresolved harmonics. Proposed algorithm is evaluated on Cooke's 100 mixtures and compared with a state-of-the-art algorithm Hu and Wang model. Results show that proposed algorithm is more robust than the Hu and Wang model.
Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICASSP
Authors Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu
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