关于隐马尔可夫模型hmm的一个源代码 c语言编写 希望对大家有帮助...

HTK3.4（HTK最新版)源码 + 可执行文件 + HTK book + 其他少量HTK资料（含中文）-HTK3.4 (HTK latest version) source+ Executable file+ HTK book+ Other HTK a small amount of information (including Chinese)

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

这是一个关于JAVA数据库连接的源程序，通过以JAVA语言来实现。 -This is a JAVA database connectivity on the source, through the JAVA language to realize.

语音识别专辑五- Speech recognition special edition five

语音识别中的通道自相关函数，matlab版。自己编的，通过测试-Speech Recognition access autocorrelation function, Matlab version. His series, testing

Rls算法源程序2 采用更新的自适应算法，实现滤波功能。-Rls algorithm source code 2, using the updated adaptive algorithm filtering.

g.72xC代码-g.72xC code

voicebox语音处理matlab工具箱-Voicebox:the speech processing toolbox of matlab.

用matlab编程来实现，用HMM模型进行孤立词的语音识别-using Matlab programming to achieve with HMM term isolation of Speech Recognition

提取语音信号的lpc参数并进行时间归整，需要将wav语音文件放在指定目录下‘e:yyzl’-voice signal from the lpc parameters and time consolidation, need to wav sound files on the specified directory "e : yyzl"