搜索资源列表
HMMsource
- HMM的精準測試源碼,內容包含HMM問題的基本三個解法，有興趣的朋友快下載-HMM precision test source, the issue includes a basic three HMM method, interested friends fast download
SpeechRecognition
- hmm算法实现的语音识别程序压缩包，内涵多个文件。-Speech Recognition
hmm.tar
- hmm hidden markov model nice pretty code good luck-hmm hidden markov model nice pretty code good luck!!!
hmm
- 隐马尔可夫模型源代码，实现了最基本的三个算法-Hidden Markov model source code, to achieve the most basic of the three algorithms
matlab_hmm
- hmm toolbox for image processing
hmm
- here is a source code for Hidden Markov Models
ugene_1_7_0_win_x86
- UGENE is a free cross-platform genome analysis suite. Main features: Multiple sequence alignment using MUSCLE 3,4 and KAlign HMM profiles build and search, based on the source of HMMER 2 and HMMER 3 PCR Primers design using Primer 3 Pr
cr1122
- this file about CLASSIFICATION OF CHAOTIC SIGNALS USING HMM CLASSIFIERS: EEG-BASED MENTAL TASK CLASSIFICATION
cdhmm
- 连续隐马尔可夫识别程序。 包含的模块，可以比较完整地进行语言识别。 主要模块： Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m -speech recognize using HMM include 11 matlab fuction: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.
Hybridmodeslforspeech
- A Speech Recognition System based on a Hybrid HMM/SVM Architecture.A good paper on hybrid model of speech recgnition
training
- this source code is for Training ,HMM for speech recognition
mfcc_shibie
- 语音识别 处理 合成 hmm 马尔科夫模型-hmm mfcc
factorialHMM
- Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.
fpr
- source code for fuzzy hmm 2-d in DIP
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
hmm.c
- 用c实现hmm,给定观察值序列和HMM模型，利用前向后向算法求取其概率-Using c to achieve hmm, for a given sequence of observations and the HMM model, using forward and backward algorithm to compute the probability
speechR
- 隐马尔科夫语音识别，源代码，只需修改部分便可实现其他功能。-HMM sound recognition
DTW
- DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm
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
Surf3D
- a real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture recognition algorithms are mainly caused by the low performance of the hands tracking module