Channel Selective Independent Vector Analysis Based Speech Enhancement for Keyword Recognition in Home Robot Cleaner

In this paper, we proposed a speech enhancement based on channel selective independent vector analysis (CS-IVA) for improving the keyword recognition rate in home robot cleaner. At first, the proposed method eliminates the noises generated by home robot cleaner. Then the CS-IVA separates sources and estimated target speech is selected. Finally, residual noise contained in CS-IVA output is reduced. Simulation results show performance of keyword recognition is improved.