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An Introduction to Energy-Based Blind Separating Algorithm for Speech Signals
Mahdi Mahdikhani,Mohammad Hossein Kahaei 한국전자통신연구원 2014 ETRI Journal Vol.36 No.1
We introduce the Energy-Based Blind Separating (EBS)algorithm for extremely fast separation of mixed speech signalswithout loss of quality, which is performed in two stages:iterative-form separation and closed-form separation. Thisalgorithm significantly improves the separation speed simplydue to incorporating only some specific frequency bins intocomputations. Simulation results show that, on average, theproposed algorithm is 43 times faster than the independentcomponent analysis (ICA) for speech signals, while preservingthe separation quality. Also, it outperforms the fast independentcomponent analysis (FastICA), the joint approximatediagonalization of eigenmatrices (JADE), and the secondorderblind identifica tion (SOBI) algorithm in terms ofseparation quality.