The main innovation ideas of the dissertation are listed as follows.1. An endpoint detection algorithm that combines expanded spectral subtraction with the SAP (speech absence probability) dynamic threshold is proposed based on traditional methods.
论文的主要研究内容如下:1.提出了一种基于扩展谱相减的语音增强算法,使得对背景噪声的估计相对传统方法更加精确。
参考来源 - 说话人识别中语音特征参数提取方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
An improved non-linear spectral subtraction algorithm is also put forward. The application range of the spectral subtraction is expanded by the new noise estimation method.
算法提高了谱减法的适用范围，还在一般谱相减方法的基础上提出了改进的谱相减算法。
The application range of the spectral subtraction is expanded by the new noise estimation method.
算法提高了谱减法的适用范围，还在一般谱相减方法的基础上提出了改进的谱相减算法。
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