：自适应技术在近年来得到越来越多的重视，其中应用广泛的包括,-.、,//0，该技术利用少量特定
人数据就可以调整码本，快速地提升识别性能，它要求原始的码本有很好的说话人无关性。本文介绍了结合
,//0 自适应的说话人自适应训练（1234536 -74289:3 649<9<=，以下简称1- ）算法，这种方法将每个说话人码本
视为说话人无关码本经过线性变换的结果，在此基础上训练的说话人无关码本更有效剔除了说话人相关信
息，因此在说话人自适应中时能根据特定数据调整更好地逼近说话人特性，从而有更好的性能表现。
Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down. (2010-08-13, PDF, 215KB, 下载5次)
提出了一种基于时频方差和的语音端点检测算法。实验证明该算法能够在低信噪比的情况下,准确地检测出语音信号
Proposed based on time-frequency variance and Speech Endpoint Detection Algorithm. Experiments show that the algorithm at low SNR cases, accurately detect the speech signal (2010-02-12, PDF, 178KB, 下载18次)
介绍了改进谱减法的原理及算法。提出在信噪比(sNR)较低的情况下，根据语音短时能量和过零率，判断在无声 或有声期间是否偶然的噪声过高，从而设定合适的参数降低噪声。
Introduced an improved spectral subtraction principles and algorithms. Proposed signal to noise ratio (sNR) lower case, according to voice short-term energy and zero-crossing rate, to judge whether silent or sound during the occasional noise is too high, and thus set the appropriate parameters to reduce noise. (2010-02-12, PDF, 235KB, 下载33次)
摘要：基于语音状态模型的语音增强算法是当前语音信号处理的研究热点。把通常的LPC语音模型修正后，将得到两个语音模型：时变AR 模型、时变双AR模型。但是利用这些模型增强语音时，都没有考虑到语音的清音、浊音区别。为此本文引入了语音清浊音状态空间模型，这种模型在描述语音方面比时变AR模型、时变双AR模型要强，而且物理含义明显 同时在用含噪语音信号预测纯净语音信号时，引入遗忘因子和粒子滤波算法以降低计算复杂性，减小运算量。实验证明，增强后的语音信号信噪比有一定提高．且优于传统的LPC模型. (2007-09-12, PDF, 170KB, 下载35次)
http://www.pudn.com/Download/item/id/331797.html
谱减法是一种比较简单的语音降噪的方法，在语音信号具有较高的信噪比的情况下具有良好的降噪功能。
Spectral subtraction is a relatively simple method of noise reduction voice in the voice signal with higher signal to noise ratio case has a good noise reduction function. (2007-07-11, PDF, 216KB, 下载196次)