11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Novel Probabilistic Control of Noise Reduction for Improved Microphone Array Beamforming

Jungpyo Hong (1), Seungho Han (1), Sangbae Jeong (2), Minsoo Hahn (1)

(1) KAIST, Korea
(2) Gyeongsang National University, Korea

In this paper, a novel speech enhancement algorithm is proposed. The algorithm controls the amount of noise reduction according to whether speech absence or presence in noisy environments. Based on the estimated speech absence probability (SAP), the amount of noise reduction is adaptively controlled. To calculate the SAP, normalized cross correlation of linear predictive residual signals instead of that of original input signals is utilized. It is especially robust and effective in reverberant and realistic environments. Experimental results show that the proposed algorithm improves speech recognition rates compared with conventional linearly constraint minimum variance beamforming.

Full Paper

Bibliographic reference.  Hong, Jungpyo / Han, Seungho / Jeong, Sangbae / Hahn, Minsoo (2010): "Novel probabilistic control of noise reduction for improved microphone array beamforming", In INTERSPEECH-2010, 969-972.