搜索资源列表
speech classification
- 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识-this is a HMM-based voice training from the source pattern HMM can understand how to do and how to capture parameter identification
baum
- 在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM
matlabyuyinshibiesuanfa
- matlab语音识别算法，包括预处理，特征提取，训练，识别算法，基于hmm模型-Matlab speech recognition algorithms, including preprocessing, feature extraction, training, recognition algorithm based on model hmm
hmmtraining
- HMM的一种经典的训练算法,需要的快下啊-HMM a classical training algorithm, the Express under ah
hmmtrainning2
- HMM的另一种经典的训练算法,需要的快下啊-HMM another classical training algorithm, the Express under ah
HTK-samples-3.4
- 隐马项目\\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识 -Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
HMMmodel
- This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the
Hidden_Markov_model_for_automatic_speech_recogniti
- Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner
new5states
- 5状态的HMM模型源代码，状态数N=5，初始参数为随机数，训练结果依赖于结束条件-5 state HMM model for the source code, the number of states N = 5, the initial parameters for the random number, the result depends on the end of the training conditions of
voice
- 在分析语音特征提取方法基础上提出一种改进组合算法,并采用HMM 声学模型和Viterbi 算法进行模式训练和识别.-Speech feature extraction method in the analysis based on the combination of an improved algorithm, and using HMM acoustic model and the Viterbi algorithm for model training and recognition.
Sfenciie
- 分词程序，HMM模型训练，维特特比解码，有说明文档。可直接使用。 -Segmentation process, HMM model training, Viterbi decoding, and documentation. Complete source code can be used directly.
tspeeechclassh
- 此源代码,是一个以HMM为基础的语音训练模形源码从中能了解解HMM怎样做参数撷取及怎样辨识 可直接使用。 已通过测试。 -this is a HMM-based voice training from the source patternn HMM caan understand how to do and how to capture parameter identification
MixtGaussian
- 一个HMM的语音识别的 程序，包括训练识别等一系列子程序，有英文使用介绍-A HMM speech recognition procedures, including training to identify a series of subroutines, for use in English introduction
hmmrecongition
- 基于HMM的语音识别系统的MATLAB仿真，采用多数据同时训练法训练模板-Speech recognition system based on HMM of MATLAB simulation, using much data at the same time training method training template
yuzhonshibiematlab
- 语种识别matlab程序，里面包括gmm，hmm模型的训练和测试-Language recognition matlab program, which includes training and testing gmm, hmm model,,,,,,
FoxPigeonHMMTTS
- Fox & Pigeon Laboratory 发布一款基于隐马尔可夫模型的英语语音合成软件（HMM based English Text-To-Speech, TTS）：FoxPigeonTTS alpha版。 近年来，基于HMM的语音合成系统得到广泛的重视和应用。我们实验室实现的基于HMM的语音合成系统基本不需要任何语言学知识指导系统训练，构建时间短，构建过程基本不需要人工干预，而由于系统属于参数化合成方法，系统的合成结果灵活多变，可以很容易的应用于多个发音人，多种发音风格，多种
train
- 这是HMM算法里的训练功能的程序，是EM算法中的一种，即前向后向算法。-This is where the training function HMM algorithm procedure is an EM algorithm, the algorithm back before that.
detect_vuv
- The HMM-based Speech Synthesis System (HTS) has been developed by the HTS working group and others (see Who we are and Acknowledgments). The training part of HTS has been implemented as a modified version of HTK and released as a form of patch code t
HMM1
- 在VC6.0平台上进行编写的，包括隐马尔科夫模型（HMM）和混合高斯模型（GMM）在内的用于模板训练的算法。(The algorithm for template training is written on VC6.0 platform, including hidden Markov model (HMM) and mixed Gauss model (GMM).)
HMM_speechRecognation
- 基于hmm的语音识别，包括训练与测试两部分，可以直接运行(HMM based speech recognition, including training and testing two parts, can be directly run.)