Adaptive Microphone Array Processing for High-Performance Speech Recognition in Car Environment

被引：7

作者：

Hong, Jungpyo ^{[1
]}

Han, Seungho ^{[1
]}

Jeong, Sangbae ^{[2
]}

Hahn, Minsoo ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Taejon 305701, South Korea

[2] Gyeongsang Natl Univ, Jinju, South Korea

来源：

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 2011年 / 57卷 / 01期

关键词：

Speech enhancement; beamforming; speech absence probability; adaptive learning rate control;

D O I：

10.1109/TCE.2011.5735511

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a novel speech enhancement algorithm is proposed. The algorithm controls the amount of noise reduction according to whether the target speech is 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 beamforming algorithms in car environments(1).

引用

页码：260 / 266

页数：7

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