GUO Hai-yan, YANG Zhen, ZHU Wei-ping. A New Single-Channel Speech Separation Method Based on Sparse Decomposition[J]. Acta Electronica Sinica, 2012, 40(4): 762-768.
DOI:
GUO Hai-yan, YANG Zhen, ZHU Wei-ping. A New Single-Channel Speech Separation Method Based on Sparse Decomposition[J]. Acta Electronica Sinica, 2012, 40(4): 762-768. DOI: 10.3969/j.issn.0372-2112.2012.04.023.
A New Single-Channel Speech Separation Method Based on Sparse Decomposition
This paper proposes a new single-channel speech separation method based on sparse decomposition.The new method is based on the construction algorithms of quasi-KLT bases proposed in this paper.First
it is proved that based on the ideal quasi-KLT bases generated from the sources
both sources can be perfectly separated from a single mixture by l exp(0) optimization.Then
considering the fact that the ideal quasi-KLT bases cannot be obtained in practice
orthogonal matching pursuit (OMP) template-matching quasi-KLT bases generated from the single mixture are first proposed
and then perform single-channel speech separation by l exp(0) optimization using the OMP template-matching quasi-KLT bases.Finally
simulation results demonstrating the perfect separation of both sources from a single-channel speech mixture by l exp(0) optimization using ideal quasi-KLT bases
as well as the effective performance of single-channel separation of two speech sources using the OMP template-matching quasi-KLT bases are presented.