搜索资源列表
HMM
- 隐马尔可夫模型源代码，对于语音信号识别有很好的作用-Hidden Markov model source code for speech signal recognition have a good effect
HMM
- HMM基于mfcc特征的语音识别,包括DTW算法演示、mfcc参数计算、端点检测等-HMM-based speech recognition feature mfcc
New-folder
- HMM and Gaussian functions and speech recognition-HMM and Gaussian functions and speech recognition..
HMM-model
- 隐马尔科夫模型是语音识别中的重要算法思想，这里在matlab下实现了一个原理性的算法-Hidden markov models is an important algorithm in speech recognition, here under the matlab implements a rational algorithm
voice-recognition
- 实现基于MFCC和HMM及Viterbi的语音识别系统，识别率可达到80 以上-MFCC and HMM-based speech recognition systems and Viterbi recognition rate can reach 80
viterbi
- 语音识别HMM算法中的解码功能的程序，其中是根据观测序列和已知模型去求状态序列-Speech recognition HMM algorithm decoding process, which is to seek observer status in accordance with the sequence and the known sequence of the model
hmm-neural
- 使用hmm隐马尔科夫模型 进行语音识别,论文效果不错-Hmm using hidden Markov model for speech recognition
face-recognition-using-HMM
- 使用hmm隐马尔科夫链做人脸识别，重量级论文。非常好。 face recognition using an embedded H-face recognition using an embedded HMM
DTW
- 在孤立词语音识别中，最为简单有效的方法是采用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。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。 本程序是DTW算法的实现-In isolated word speech recog
hmm
- hmm is a template matching for speech recognition
face-recognition-SVD-HMM
- an efficient system for face recognition based on hidden markov models and SVD as features extractor
HMM
- 该文件为基于HMM的孤立词/连接词识别系统-The document is based on isolated word HMM' s/conjunctions recognition system
hmm-details
- its full of explains the concept of hmm model used in speech recognition system.
speech-recognition
- 基于HMM的语音识别完整代码，包括HMM的三个基本问题的求解，很实用。-Speech recognition based on complete HMM code, the solution consists of three basic problems of HMM, very practical.
DHO-HMM-sourceforge-1.03
- this code contain hmm speech recognition
HMM-C-based
- HMM基于C语言的模型程序源代码，语音识别，数字信号处理-HMM model based on the C language source code, voice recognition, digital signal processing
SpeechRec
- 在孤立词语音识别中，最为简单有效的方法是采用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。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。-Isolated word speech recognition, the most s
Face-Recognition-using-HMM-master
- 基于隐马尔科夫模型的人脸识别算法，能够较为准确的完成人脸识别。是马尔科夫场的一种实际应用。-A face recognition method based on HMM which can precisely recognize the faces. It is an application of HMM.
A-New-Fast-and-Efficient-HMM-Based-Face-Recogniti
- A New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients
hmmrecognition
- speech recognition HMM,DTW,speech recognition -HMM speech recognation