Name
Abstract | ||
|---|---|---|
This paper focuses on the causality problem in the task of Blind Source Separation (BSS) of speech signals in nonminimum-phase mixing channels. We propose a new algorithm for solving this problem using filter decomposition approach. Our proposed algorithm uses an integrated cost function in which independence criterion is defined in frequency-domain. The parameters of demixing system are derived in time-domain, so the algorithm has the benefits of both time and frequency-domain approaches. Compared to the previous work in this framework, our proposed algorithm is the extension of filter decomposition idea in multi-channel blind deconvolution to the problem of blind source separation of speech signals. The proposed method is capable of dealing with both minimum-phase and nonminimum-phase mixing situations. Simulation results show considerable improvement in separating speech signals specially when the mixing system is nonminimum-phase. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISSPIT.2010.5711804 | ISSPIT |
Keywords | Field | DocType |
blind source separation,filter decomposition idea,causality problem,speech signal,nonminimum-phase system,filter decomposition approach,new algorithm,demixing system,proposed algorithm,frequency-domain approach,cost function,deconvolution,time frequency analysis,frequency domain,time domain,speech processing,blind deconvolution | Time domain,Frequency domain,Speech processing,Blind deconvolution,Control theory,Computer science,Deconvolution,Communication channel,Time–frequency analysis,Blind signal separation | Conference |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Kheradmand | 1 | 58 | 3.84 |
| Hamid Sheikhzadeh | 2 | 257 | 36.85 |
| Kamraan Raahemifar | 3 | 1 | 0.37 |
| Ebrahim Ghanavati | 4 | 1 | 0.71 |