扬声器开发 C 语言源程序库 ,用C语言进行扬声器的研究.　

语音信号处理中基音周期提取算法。运用传统的自相关方法。并加入了三电平削波的处理。-Speech Signal Processing pitch extraction algorithm. Using the traditional autocorrelation method. And joined the three-level clipping processing.

为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件 设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参 数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction algorithm is proposed based on the algorithm the hardware Design, describes the design principles of each module. The program increased the Voice Activity Detection feature, which allows voice signals to detect the noise frame to improve the characteristic parameters The number of reliability.

在做和语音信号处理相关的项目时要用到的语音工具箱,比如语音识别,说话人识别等,里面有一些已经封装好的小函数,可供大家编程序的时候直接调用-In speech signal processing to do and projects related to voice use toolbox, such as speech recognition, speaker recognition, etc., there are some good small function package for everyone when programmed direct call

自编的几个关于数字信号基本运算的程序，由此可以大大扩展信号运算的自由性与简洁性。-wrote several digital signal on the basic operations procedures, It can be greatly expanded signal operation and the freedom of simplicity.

speech recognition base paper pdf file

摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提 出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于 一个数据库查询系统中。-65DL5=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@=?7?8=D

This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .

此文件具有强大的功能，可帮助您对信号进行处理和语音语音加工、 LPC 和离散函数量化筛选器。T他是最好的声音听起来和语音处理。

AMR-WB声码器VAD（语音活动检测）程序。测试使用8kHz采样率和16位wav量化文件。