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| | The speech endpoint detection in the presence of noise is analyzed since endpoint detection methods have difficulties at low signal-to-noise ratios.This paper proposes a novel method for distinguishing the signal and the noise by the statistical property of themselves,based on higher order statistical feature extraction using independent component analysis(ICA).Because ICA transform increases the difference of the statistical property between the speech and the noise,the speech and the noise can be distingu... | | 运用独立分量分析(ICA)提取信号高阶统计特征的方法,提出一种新的利用信号自身统计特性的信噪区分方法,由于ICA变换可以增大语音和噪声的统计性差别,故在ICA域内可以有效区分语音和噪声。在此基础上提出了ICA能量(ICAE)和滤波ICAE(FICAE)特征来进行端点检测。实验表明,结合FICAE与ICAE的端点检测方法在不同信噪比时具有一定的稳定性,在很低信噪比下也能有效检测出语音的端点,显示了良好的抗噪性能,为强背景噪声下弱信号的端点检测提供了新的途径。 | | 文摘来源 | |   |
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