Abstract: Music disturbance reduces recognition rate of the word command in the car word command recognition system.Because of its the larger eigenvalue spread and the smaller spectrum evenness，the algorithm convergence speed of the music signal is slower than that of speech signal so that traditional adaptive cancelling algorithm cannot complete cancel the music disturbance and recognition rate of the word command cannot be improved largely.To overcome this problem，a pre-whitening adaptive filter is used to reduce the eigenvalue spread and increase the spectrum evenness.In addition，in order to improve the convergence rate of the adaptive cancelling algorithm double adaptive filtering algorithm is adopted to cancel the music disturbance together with the pre-whitening adaptive filtering.The experimental results show notably improved correct recognition rate of the word command after music disturbance cancellation and pre-whitening improves recognition rate.