搜索资源列表
Voice-recognizition
- 语音识别 隐马尔科夫模型 HMM算法 VC++开发环境下的源代码-voice recognizition
1003
- 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.
dtw
- 语音信号识别的应用,算法使用的是hmm,编写效率高,经过了验证。-Application of voice signal recognition algorithm using hmm, the preparation of high efficiency, through the verification.
HMM
- 基于统计的分词,采用隐马尔可夫模型,并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report
Cforspeech
- :用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技 术——隐马尔可夫模型(HMM)技术,以及线性预测倒谱计算和矢量量化技术. 命令(单词)的正确识别率 在97 以上. 介绍了声音模块的设计方案,并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
speechrecognitionbasedonhmm
- 基于hmm的识别程序 识别数字0-9,识别率全对-speech recognition based on hmm number 0-9 all right
HMM
- matlab下基于HMM算法的语音信号的识别与研究 包含HMM的基本工具包-HMM-based algorithm matlab voice signal containing the identification and study of the basic HMM Toolkit
speechrecognition
- 关于语音识别,包括完整的语音读取、语音处理和语音提取的代码,-about speech recognition
hmmtrain
- HMM模型,用C语言实现的,可以用于模式识别-HMM model, with the C language implementation, and can be used for pattern recognition
ASR_matlab
- 语音识别的MATLAB代码,包括用于测试的语音,实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。-ASR use HMM and DTW method include wave files use for test and training.
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程,实现了对10个数字音的识别程序,包含了HMM语音识别中的分段,MFCC特征提取,Baum-Welch训练,及Viterbi等算法,通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
SpeechRecognition
- hmm算法实现的语音识别程序压缩包,内涵多个文件。-Speech Recognition
mfcc_shibie
- 语音识别 处理 合成 hmm 马尔科夫模型-hmm mfcc
ch13
- 非特定人语音识别的HMM算法实现以及特定人语音识别DTW算法实现-Speaker-HMM speech recognition algorithm and independent speech recognition DTW algorithm
vqxitongshixian
- 整理好的基于HMM语音识别系统(matlab实现)-Tidied HMM-based speech recognition system (matlab implementation)
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程,以及相关技术。 端点检测:基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取:LPCC和MFCC 参数模板存储:HMM和N_Gram 识别阶段:DWT 各阶段的相关技术都给了详细的介绍,绝对是好东西!-More detailed introduction to the speech recognition system implementation process and related technologie
HMM_anomaly_detection
- 本文从HMM的基本思想、概念出发,建立了基于网络的HMM异常检测原型。对原型在实际应用环境中产生的问题,提出了对观测对象(数据包头部)进行分段的改进办法,进而建立了具有可操作性的HMM异常检测模型。-From the basic thought and concept of HMM,the article establishes the prototype of HMM anomaly detection based on network.To resolve some problems whi
languagerecognize
- 语音识别方法,主要介绍隐马尔可夫模型HMM识别方法,包括HMM的三种算法-the method of language recognize
7c2f6c56ed6d
- 一个HMM的Matlab实现方法,可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved
HMM
- matlab写的语音识别程序,一起交流用的,哈哈哈 -matlab speech recognition program to write, with the exchange, ha ha ha