语音识别专辑三

语音频率分析使用matlab实现，很经典了-Voice frequency analysis using matlab implementation, it is the classic of the Hehe

本文件包含几个进行语音端点检测的小程序。运行时直接复制到matlab的m文件即可。经本人调试正确无误。-This document contains some of the voice activity detection applet. Directly copied to the run-time of the m file to matlab. After I debug correct.

提供了segmantal SNR及IS的计算代码，用于语音增强后评价用。-Provided segmantal SNR and IS calculation code for speech enhancement with post-evaluation.

windows操作系统下就能使用的SVM-light4.0最新版,很有价值哟-windows operating system will be able to use the SVM- light4.0 latest version, value yo

自己编写的用于传感器信号滤波的算法程序，并有真实信号处理的数据演示-I have written for the sensor signal filtering algorithms procedures and have the authentic signal processing of data presentation

程序名：Guard.c //该程序是特定人语音识别 //在程序中通过三条语句的训练演示特定人连续音识别，其中第一条语句为触发命令。 //在程序开始首先训练触发命令，然后提示训练两条命令，训练完毕开始语音识别。 //当识别出触发名称后，发布命令则会听到应答-procedures Name : Guard.c// The procedure is a specific person voice recognition// procedures adopted by the three phrases of training people for a specific demonstration of the sound recognition, the first of which triggered an order for the statement.// First in the beginning of the proceedings training trigger orders, and then suggested training two orders completion of the training started to voice recognition.// Trigger out when name recognition, will be issued an order to hear responses

This is a development package for IBM Text To Speech (TTS). -This is a development package for IBM Text T o Speech (TTS).

用PIC单片机开发的自动小车控制源代码 ：能接受电视机红外遥控器控制，电机PWM控制，舵机控制，而且能利用红外探头自动躲避障碍，配合陵阳单片机可实现语音识别。-PIC microcontroller development of the automatic control of the source code Trolley : TV can receive infrared remote control. PWM motor control, servo control, and can use the infrared sensor automatically avoid obstacles, Lingyang MCU with voice recognition can be realized.

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LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R))