Description: 隐马尔科夫模型及其在语音处理中的应用，这个是GNU提供的算法库，类unix环境，C语言，当前最新版本已经不再提供C＋＋的了。-Hidden Markov Model and the voice processing applications, this is the GNU algorithm library, unix environment category, C language, the current latest version is no longer available in C + + in the past. Platform: |
Size: 756779 |
Author:zdr |
Hits:
Description: HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。
(a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率 ，求觀察序列 出現的機率。
(b) Optimal State Sequence: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求一個狀態序列 使得O出現的機率最大。
(c) Parameter Estimation: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求新的A、B、 ，使得O出現的機率最大。
-HMM (Hidden Markov Model), state the number of N = 3, Observation number of symbols M = 2, T = length of three. (A) Probability Evaluation : given state transition probability A, Observer status symbol probability of B, and initial probability for observation sequence in the octave. (B) Optimal State Sequence : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, for a state sequence of O makes the greatest risk. (C) Parameter Estimation : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, the way the A, B, and O makes the greatest risk. Platform: |
Size: 146567 |
Author:章勝鈞 |
Hits:
Description: 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 sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 15630 |
Author:aaaaaaa |
Hits:
Description: 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 (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 23484 |
Author:张志 |
Hits:
Description: 隐马尔科夫模型及其在语音处理中的应用，这个是GNU提供的算法库，类unix环境，C语言，当前最新版本已经不再提供C＋＋的了。-Hidden Markov Model and the voice processing applications, this is the GNU algorithm library, unix environment category, C language, the current latest version is no longer available in C++ in the past. Platform: |
Size: 756736 |
Author:zdr |
Hits:
Description: HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。
(a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率 ，求觀察序列 出現的機率。
(b) Optimal State Sequence: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求一個狀態序列 使得O出現的機率最大。
(c) Parameter Estimation: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求新的A、B、 ，使得O出現的機率最大。
-HMM (Hidden Markov Model), state the number of N = 3, Observation number of symbols M = 2, T = length of three. (A) Probability Evaluation : given state transition probability A, Observer status symbol probability of B, and initial probability for observation sequence in the octave. (B) Optimal State Sequence : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, for a state sequence of O makes the greatest risk. (C) Parameter Estimation : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, the way the A, B, and O makes the greatest risk. Platform: |
Size: 146432 |
Author:章勝鈞 |
Hits:
Description: 隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域，语音识别工具htk的最新版本。无需解压密码-HMM toolbox use sample documents can be widely applied in such fields as identification, Speech recognition tools htk the latest version. Without extracting passwords Platform: |
Size: 2212864 |
Author:李婧 |
Hits:
Description: 实现了隐马尔可夫模型的算法。可用向前算法和向后算法对模型进行训练。-Realize the hidden Markov model algorithms. Algorithm can be used forward and backward algorithm for training the model. Platform: |
Size: 3603456 |
Author:waterlily |
Hits:
Description: 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 sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 15360 |
Author:aaaaaaa |
Hits:
Description: 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 (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 23552 |
Author: |
Hits:
Description: ：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 module voice recognition systems using current mainstream technologies- Hidden Markov Model (HMM) technology, as well as the linear prediction cepstrum calculation and vector quantization technology. command (word) the correct recognition rate in more than 97 . introduced a sound module design and the realization of the sound module on the course of the specific problems encountered were discussed. Platform: |
Size: 200704 |
Author:刘文 |
Hits:
Description: 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running. Platform: |
Size: 6144 |
Author:yang |
Hits:
Description: 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.-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. Platform: |
Size: 15360 |
Author:shekarraj |
Hits:
Description: 本程序是基于隐马尔科夫模型（HMM）的方法在visual C++环境中实现人脸检测。-This procedure is based on the hidden Markov model (HMM) method in visual C++ environments face detection. Platform: |
Size: 103424 |
Author: |
Hits:
Description: VisualBasic 的 HMM 范例
HMM模型，Viterbi，滑动窗算法唐纳 Helland（定位在人类的DNA基因的目的)-HMM、Viterbi、and Sliding Window Algorithms (for purposes of locating genes in human DNA) by Tanner Helland
This project demonstrates use of a Hidden Markov Model (HMM) to define the relationship
between normal states (B) and island states (I) within a region of the human chromosome.
This algorithm proves particularly useful for gene finding、as CpG islands (regions of DNA
with a larger than expected number of adjacent cytosine and guanine nucleotides) tend to
appear near the promoters of some 40 of mammalian genes. The automation of this process
is critical in gene research because CpG islands are impossible to locate by simply looking
at a strand of DNA (as they may cover several hundred bases and their C/G content may be
only slightly higher than the expected value).
The algorithm is fast、robust、and it includes a wealth of good routines (such as loading FASTA
files into VB). Ive tried to include comments where applicable. Platform: |
Size: 33792 |
Author:ji zuo-xin |
Hits:
Description: 在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++ Platform: |
Size: 6144 |
Author:viky99 |
Hits:
Description: 语音识别中的训练程序，简单实用。用C++编写。用用的是隐马尔可夫模型 ，经测试可直接使用。
-Training program in speech recognition, simple and practical. Prepared using C++. With the use of hidden Markov model has been tested and can be used directly. Platform: |
Size: 727040 |
Author:lmargin |
Hits:
Description: 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，多种情感表达的需求中。
我们的实验室实现的英语语音合成技术音质好，自然度高，可懂度高。并且整个系统基于C开发，可以很方便的移植到其他移动平台。
下一步我们会开发中文语音合成技术，以及在 提高合成语音的自然度、丰富合成语音的表现力、降低语音合成技术的复杂度、多语种文语合成方面做进一步的研究。-Fox & Pigeon Laboratory released a hidden Markov model based on the English speech synthesis software (HMM based English Text-To-Speech, TTS): FoxPigeonTTS alpha version.
In recent years, HMM-based speech synthesis system has been widely appreciated and applications. Our laboratory implemented HMM-based speech synthesis system does not require any basic knowledge of linguistics training guidance system, build time is short, the basic building process does not require human intervention, and because the system belongs parametric synthesis, synthesis of the results of the system flexible , can easily be applied to multiple pronunciations who demand a variety of pronunciation styles in a variety of emotional expression.
Our laboratory English speech synthesis technology to achieve good sound quality, natural high, high intelligibility. And the entire system is based on C development, can be easily ported to other mobile platforms.
Next, we will develop Chinese speech synthesis tech Platform: |
Size: 3270656 |
Author:Shi |
Hits:
Search - HIDDEN MARKOV MODEL IN c