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Science China Information Sciences

, Volume 54, Issue 12, pp 2471–2480 | Cite as

Monaural voiced speech segregation based on elaborate harmonic grouping strategies

  • WenJu LiuEmail author
  • XueLiang Zhang
  • Wei Jiang
  • Peng Li
  • Bo Xu
Research Papers Special Focus

Abstract

In this paper, an enhanced algorithm based on several elaborate harmonic grouping strategies for monaural voiced speech segregation is proposed. Main achievements of the proposed algorithm lie in three aspects. Firstly, the algorithm classifies the time-frequency (T-F) units into resolved and unresolved ones by carrier-to-envelope energy ratio, which leads to more accurate classification results than by cross-channel correlation. Secondly, resolved T-F units are grouped together according to minimum amplitude principle, which has been verified to exist in human perception, as well as the harmonic principle. Finally, “enhanced” envelope autocorrelation function is employed to detect amplitude modulation rates, which helps a lot in reducing half-frequency error in grouping of unresolved units. Systematic evaluation and comparison show that performance of separation is greatly improved by the proposed algorithm. Specifically, signal-to-noise ratio (SNR) is improved by 0.96 dB compared with that of previous method. Besides, our algorithm is also effective in improving the PESQ score and subjective perception score.

Keywords

computational auditory scene analysis voiced speech separation harmonistic principle minimum amplitude principle elaborate harmonic grouping strategies 

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • WenJu Liu
    • 1
    Email author
  • XueLiang Zhang
    • 1
  • Wei Jiang
    • 1
  • Peng Li
    • 2
  • Bo Xu
    • 2
  1. 1.National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.Digital Media Content Technology Research Center, Institute of AutomationChinese Academy of SciencesBeijingChina

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