搜索资源列表
HTS-1.1.1_for_HTK-3.2.1.tar
- 语音信号处理工具包，是日本的一个大学开发的，对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.
FreeSpeech-0.1.2.tar
- 语音识别方面的开发包，有助于设计HMM，NN和VQ。它是开放源码的。-the development kits, contribute to the design of HMM, NN and VQ. It is open source.
Matlab HMM
- MATLAB编写的用于语音识别的程序 主要内容为隐马尔可夫程序-MATLAB prepared for the speech recognition process mainly as Hidden Markov proce
孟德尔HMM实验
- 这是一个应用隐马尔科夫进行孟德尔实验的MATLAB工具箱。
c++andhmm model.rar
- 可以直接在vc下运行的HMM源代码，无任何错误，运行后即可得到HMM模型的三个重要组成部分，状态转移矩阵等信息。
0-9(Speech-Recogenition)用matlab仿真0到9十个数字的语音识别
- 用matlab仿真0到9十个数字的语音识别 1、对语音的WAV文件和LAB文件进行处理，产生十个文件，每个文件对应于一个数字，存贮着该数字的波形文件。（shujuzhengli.m） 2、分别利用上面十个文件训练出十个HMM模板，具体方法是：首先将语音的波形文件分帧，以128个点为一帧，帧移为64，每一帧通过mfcc.m计算出13个系数，随着波形的长度不同，一个语音文件可以计算得到13*N个系数，截取13*15的矩阵（mfcc系数）用作训练数据。一般一个HMM模板用20组mfcc系数
HMM 隐马尔可夫模型程序代码
- 隐马尔可夫模型程序代码，很经典的一个算法-Hidden Markov model code, it is a classic algorithm
H2Mtoolbox.rar
- 此工具箱里面有关于HMM、VQ、SVQ算法的原代码，可以方面的被调用。,H2M tool box is a advantageous tool box.there are HMM\VQ\svq and orther uesful algorithms.
Recognition-System
- ：建立了一个基于HMM 算法的非特定人语音识别系统，阐述了具体实现过程，包括预处理、特征参数的提取及模板的匹配-: The establishment of a non-specific algorithm based on HMM Speech Recognition System, describes a specific implementation process, including preprocessing, feature extraction and template para
ATK
- 语音识别 隐马尔可夫HMM开发工具HTK的API函数包 ATK 请大家下载.-An Application Toolkit for HTK developed by Cambridge University
Chinese-Word-Segment-And-POS-Tagger
- 实现了中文分词和词性标注程序。分词方法采用“三词正向最长匹配”。词性标注使用HMM方法，用Viterbi算法实现。“三词正向最长匹配”保持了“正向最长匹配算法”快速的特点，同时提高了分词的准确性。-Chinese word segmentation and implemented procedures for POS tagging. Segmentation Methods, " the longest three-match positive words." POS tag
SVM_for_classfication
- 一个基于HMM的说话人识别的源程序程序和列子-Copy all files in Matlab current directory and type "speakerrecognition" on Matlab command window. After unzipping the file correctly, you will find two folders, TRAIN and TEST, each contains some files, named: S
speechRHMM
- HMM语音识别的matlab程序，举了1-9几个数字的例子，对语音识别的程序进行了验证-HMM Speech Recognition program， cited the example of figures 1-9, the speech recognition process was validated
Unsupervise
- 利用隐马尔可夫模型实现词性标注。此为无监督模型。 内含语料库和测试集。方便大家学习。-The use of Hidden Markov Model to achieve part of speech tagging. This is no oversight model. Corpus and the test set contains. To facilitate them to learn.
HMMshuziyuyinshibie
- 这是基于HMM的数字语音识别，实现了0到9 的识别，并带有GUI界面，可以进行录音和播放，预处理，识别结果准确，并附有音频-This is a digital speech recognition based on HMM identification of 0-9, with a GUI interface and recording box player, there are pretreatment, accurate identification, together with audio
ISpeech-recogs
- 基于HMM的孤立词语音识别别程序，非常有用。可直接使用。 -Isolated word HMM-based speech recognition procedures, very useful. Complete source code can be used directly.
demo3
- HMM的C语言实现 HMM的C语言实现-HMM of the C language of the C language HMM
speech_recognition_based_on_HMM
- 基于hmm的matlab程序，能够识别0—9十个数字-Hmm based on the matlab program, be able to identify dozens of figure 0-9
wang
- N best hypothesis document N best hypothesis as used H-N best hypothesis document N best hypothesis as used HMM
keyword-chouqu
- 基于逆向最大匹配算法的分词及基于HMM模型的词性标注系统，包括了未登录词的识别、数据库的添加等内容。（需要手动修改数据库的路径才可以运行）-Reverse Maximum Matching Algorithm Based on the sub-word HMM-based model and part of speech tagging system, including the unknown word identification, such as the contents of the d