采样小波包分解语音信号，分解为3层，并求出分解系数

隐马尔科夫模型的建立，该模型可广泛应用于语音识别、对象定位、多序列比对中。-Hidden Markov model, the model can be widely used in speech recognition, object positioning, multiple sequence alignment of.

简单的基于门限值的语音端点检测。先将数字化的语音信号封装成帧，利用最大的帧幅值乘以一个比例因子得到门限值-Simple threshold-based voice end point detection. First，framing the digital voice signal , then using the maximum amplitude to multiply a frame scale factor to get threshold

TTS，TTS To Speech,Read the text using the microsoft TTS engine,and ACE libraly-TTS, TTS To Speech, Read the text using the microsoft TTS engine, and ACE libraly

lms的matlab程序仿真，可以实现lms的一些性能仿真-matlab simulation of LMS procedures, you can realize some of LMS performance simulation

又下来传一个基音检测的论文,一共4片,包括英文文献!!一起学习-Further down the mass of a pitch detection of the papers, a total of 4, including English literature!! With learning

音频信号的短时分析工具箱，包含处理音频信号的常用命令文件等-Short-time audio signal analysis toolbox, including the common audio signal processing command files, etc.

2400 bps MELP语音编解码定点算法-2400 bps MELP speech codec fixed-point algorithm

Wigner Ville distribution

MFCC 参数和 LPCC 参数是说话人识别中两种最常用的特征参数，研究了 MFCC 和 LPCC 参数提取的算法原理及差分倒谱参数的提取方法，采用MFCC、LPCC 及其一阶、二阶差分作为特征参数，通过 k 均值算法与三层BP 神经网络来进行说话人识别。实验结果表明，该方法可以有效提高识别率，同时也验证 MFCC 参数的鲁棒性优于 LPCC 参数

国际上最新的说话人识别算法的源程序，内置语音训练数据-The latest international speaker recognition algorithm source code, built-in voice training data