LMS 算法源程序，绘制性能曲线图，误差性能曲线

一个语音开发包动态连接库，很容易使用。- A pronunciation development package dynamic connection storehouse, is very easy to use.

文本语音转换的使用源码，需要有TTS支持才行-The use of text-to-speech conversion source, do need to have TTS support

FreeTTS(第四部分)-FreeTTS Part four

提供rls的matlab实现，用RLS算法设计一个数字滤波器，实现语音增强的目标，得到清晰的语音信号-Provide rls realize the matlab using RLS algorithm to design a digital filter to achieve the goal of speech enhancement have been given clear voice signal

fastICA的matlab实现。快速独立成分分离算法，用于去除图像或声音之间的 相关性。-The FastICA matlab realize. Fast independent component separation algorithm for the removal of images or sound correlation between.

一个非常广泛的语音识别模型；具体应用在代码里面；自己看-A very wide range of speech recognition model specific code inside the application own look

Microsoft agent示例源程序，必须安装了Microsoft agent2.0以上 -Microsoft the agent demonstration source program, must install above Microsoft agent2.0

在matlab环境下的详细的turbo的编码和解码过程，包括循环编码过程-In the matlab environment detailed turbo encoding and decoding process, including the cycle of coding process

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

赤木正人教授在论文“Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis”中提出的f0 preparation模型的matlab实现