A Robust GSC Beamforming Method for Speech Enhancement using Linear Microphone Array

Feng Ni, Yi Zhou, Hongqing Liu · 2019

The speech enhancement problem is studied using an improved robust generalized sidelobe canceler (GSC) beamforming algorithm based on microphone array, in the cases of speaker noise and the music interferences. The conventional GSC algorithm based on variable step size and a priori signal-to-noise ratio (SNR) algorithm is not robust under the nonstationary noise because the solution of the signal-to-noise ratio (SNR) is not given. To enhance the robustness, in this paper, a improved GSC algorithm is developed, where adaptive filter coefficients are updated based on signal output power ratio (SPR). The numerical studies including speaker noise and music noise demonstrate that the improved algorithm outperforms the traditional GSC and the GSC based on variable step size technique.

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