继续往上传基音检测论文,希望对你有帮助.共同奋斗

一种基于mfcc语音特征提取方法，识别率还可以-MFCC-based speech feature extraction method, recognition rate can also be

一篇关语音压缩编码的DSP实现的论文 NH文件-a customs voice coding DSP paper documents NH

微软speechsdk的语音控制开发例子-Microsoft speechsdk example of voice control developed

语音识别:语音矢量化及算法及与原文件的矢量对比功能源代码-Speech Recognition : Speech vector algorithm and the original document and the contrast vector function source code

audio/celp

这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.

里边包含了详细的代码及所需的音频文件，很详细，实现语音识别系统。-Inside contains a detailed code and the required audio files, in great detail, the realization of speech recognition system.

60秒多段语音录放芯片APR9600.htm-60 seconds of voice recording and multi-chip APR9600.htm

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

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