.png){kind=icon}
返回
Adaptive Microphone Array Processing for High-Performance Speech Recognition in Car Environment
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2011.5735511.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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).
Keyword:
Speech enhancement
beamforming
speech absence probability
adaptive learning rate control
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
机构
引用论文
.png){kind=icon}
Oxidative burst and cell death induced by b-quercinin and zoospores of Phytophthora quercina in tobacco cell culturesb-槲皮素菌和Quercina疫霉游动孢子在烟草细胞培养中诱导的氧化爆发和细胞死亡
OAAI
OAAI分享收藏分享收藏 没有更多内容
没有更多内容