说话人识别

本文分析了用经验模态分解( Empirical Mode Decomposition ,EMD) 方法处理非平稳噪声信号的基本原理 , 并利用 EMD 方法有效地消除了高斯白噪声对瞬态散射回波的干扰. 文中以一人工合成瞬态回波为例 ,对本方法的有 效性作了检验.-This paper analyzes the use of empirical mode decomposition (Empirical Mode Decomposition, EMD) method to deal with non-stationary noise signals in the basic principles and methods of use of EMD effectively eliminates the Gaussian white noise on the transient scattering echo interference. Text in one artificial Synthesis of transient echoes as an example of the effectiveness of this method were tested.

G.729音频压缩传输协议（ip电话）,ITU的G.729语音压缩编码标准。-G.729 audio compression and transmission protocol (ip phones) The ITU G.729 voice compression standards.

Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预 测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。 基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音） 的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲 序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in linear predictive coding LPC theory, lattice filters, as well as the current prediction equation solving algorithm, can achieve an important element of the speech signal analysis, synthesis or recognition. Based on the existing experimental platform, we can use Matlab function to obtain the number of fixed-voice elements (such as vowels) model coefficients, LPC coefficients are the composition of IIR filters. Shock pulse sequence used as input, we can get the original voice. This is a simple voice synthesis.

语音识别专辑五- Speech recognition special edition five

g.729协议源代码,c语言,直接可以应用(dsp定点化)

求语谱图的matlab程序，非常有用-Spectra for the matlab language program, very useful

语音智能小车程序，可语音控制小车运动，语音应答-Voice Smart car procedures, voice control car movement, voice response

利用全极点模型产生语音信号.rar-use all-pole model generated voice signal. Rar

语音处理算法中的cvsd算法在ccs环境下用汇编实现的测试向量代码-Voice processing algorithms in the CVSD algorithm in ccs environment with compilation of test vectors to achieve code

语音计算器正式版本。 无须安装即可运行， 这里提供全部源代码，可以供初学者学习） beitso－－－－版权所有-The form version of speech calculator.you can run it without installation. Here is all code to give a sample for new learner. Beitso copyright