Nowadays, the use of microphone array beamformer has been widely commonly due to its convenience of steering the beampattern on the specified sound location and attenuating the background noise field. Microphone array beamforming own the capability of suppressing interference, third-party speakers and different adverse noise fields with high directivity index of extracting the clean speech data without speech distortion. Minimum Variance Distortionless Response beamformer bases on the constrained criteria of minimizing the total output noise power while saving the target talker by ensurign the beampattern equals one at certain direction. However, under realistic recording environments, due to the movement of speaker during conversations, the error of start time recording, the different sensitivities of microphones, the error of sampling frequency, the internal electrical acoustic equipments, the inaccurate distribution of microphones, the overall beamformer’s performance often degraded. The unacceptable surrounding noise level or speech distortion corrupt the speech intelligibility of output signal. In the article, the author proposed two-stage - based method for adaptively updating the smoothing parameters for increasing the beamformer’s evaluation in real-life scenarios. The numerical simulation has shown the improvement of reducing the speech distortion to 5 dB, removing the background noise level to 12.9 dB and increasing the speech quality in the term of signal-to-noise ratio from 5.3 to 8.8 dB.