实现 直接2型滤波器的设计 以及 仿真 功能

极小边际熵等价于叉四阶累积量的平方和最小。通过迭代使四阶累积矩阵对角化，实现交叉四阶累积量的平方和的极小化。他是语音识别的重要预处理算法-minimum entropy equivalent to the marginal four bands fork cumulative amount of square and smallest. Through iterative four bands so that the cumulative matrix diagonalization, four bands to achieve cross-cumulative amount of square and the minimization. He is an important voice recognition algorithm pretreatment

16kbpsCVSD与64kbpsPCM编码数字转换算法描述及实现-16kbpsCVSD and 64kbpsPCM code conversion and encoding algorithm description and implementation

一种语音段起止端点检测新方法.rar格式为ｖｉｐ-made available a voice of a new endpoint detection methods. Rar format vip

本程序采用Visual C++开发,功能为TextToSpeech.-This procedure uses Visual C++ Development, function TextToSpeech.

GSM音频编解码程序-GSM audio codec procedures

一款安卓版的语音小助手，调用了讯飞的API，实现了用语音指令打电话、发短信、查看日历、搜索、打开应用等数十项功能，类似于APPLE的SIRI，用Android studio开发。

语音信号的共振峰抽取的算法-formant extraction in speech signal algorithm

VC下使用wavein/waveout的SDK进行录放音的Demo-use wavein VC/waveout SDK audio recorders for the Demo

该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。 //我们将其进行了修改，使其能在SPCE061A下运行，由于存储空间为32K字，只能识别并应答9个命令。 //在这个例程当中，我们示范了如何使用语音识别引擎对8个已经经过训练的命令进行识别。 //第一个命令 "Snoopy"，可以作为使能命令，也就是说使用者只能在该命令之后发出其他命令。 //例如，用户只有在发出 "Snoopy"命令并且听到响应"Snoopy here"之后才能继续下达其他命令 //如"How are you", "I love you",等等。 //当"Snoopy"命令响应之后，程序将等待8秒钟，如果没有其他命令发出， //系统将跳回到第0组，并且再次等待触发命令"Snoopy"。当用户的命令无法被识别时， //程序将响应为"Execuse me?", "I can t hear you!"或 "Say again!"这时用户可以再一次下达语音命令。-the procedures were non-specific voice recognition procedure, the original run in SPCE500A can identify and Response 16 orders, storage space for 128K bytes.// We had to amending it so that it can run in SPCE061A, storage space for 32K words, recognize only nine responses and orders.// This routine, we have demonstrated how to use voice recognition engine has eight pairs of trained orders for identification.// The first order "Jack Champion", as it can make an order, users can only say in the order issued after other orders.// For exampl

使用MATLAB编写的nlms滤波器程序代码！-Prepared using the MATLAB program code nlms filter!