HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。...

从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral coefficients

语音信号分帧加窗程序，许多程序包里都没有的！-Speech signal windowed framing procedure, many programs do not have the bag!

语音编码标准Ｇ．７１１的ＶＣ实现，编译通过-Voice coding standard G. 711 realize the VC, the compiler through

一个HMM的Matlab实现方法，可实现孤立词语音识别-The Matlab realize a HMM method can realize an isolated word speech recognition

自适应量化。读取wav文件，使用2到12比特量化。抽样频率8khz-Adaptive quantization. Read wav files, using 2-12 bit quantify. Sampling frequency of 8kHz

语音识别基本原理 自己收集的电子书 关于语音识别的 -voice recognition basic tenets of his collection of electronic books on Speech Recognition

AGC algorithm for CMMB -AGC algorithm for CMMB AGC algorithm for CMMB

为微软SAPI(Text-to-Speech API)封装的类- Kind (Text-to-Speech API) seals which for Microsoft SAPI

HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):-HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. lt;phil@hawksoft.comgt; HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):