吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1665-1670.doi: 10.13229/j.cnki.jdxbgxb201505041

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Voiced speech blind signal separation algorithm based on signal energy

LI Hong-yan, QU Jun-ling, ZHANG Xue-ying   

  1. College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2013-12-16 Online:2015-09-01 Published:2015-09-01

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Abstract: Considering the shortcoming of instability and low SNR in existing monaural voiced speech separation algorithms, a new voiced speech separation algorithm based on signal energy is proposed, which introduces the signal energy as another important voiced speech feature. This new algorithm is based on the improvement of the classical Hu-Wang algorithm, applying energy feature to the auditory reorganization part. It further improves the reorganization performance of the target speech auditory stream as well as reduces the influence of noise and improves its stability by applying the energy feature. The experiment results show that compared with Hu-Wang algorithm, this improved algorithm can improve the segmental SNR of the target speech segmentation and improve the separation performance obviously.

Key words: communication technology, computational auditory scene analysis, speech separation, signal energy, auditory segment, auditory stream

CLC Number: 

  • TN912.3
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