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[Speech/Voice recognition/combinematlabyuyinshibiesuanfa

Description: 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
Platform: | Size: 3578 | Author: 张旭 | Hits:

[Speech/Voice recognition/combinematlabyuyinshibiesuanfa

Description: 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
Platform: | Size: 3072 | Author: 张旭 | Hits:

[Software Engineeringapplication_of_special_person_on_ASR_for_the_contr

Description: 常用的说话人识别方法有模板匹配法、统计建模法、联接主义法(即人工神经网络实现)。考虑到数据量、实时性以及识别率的问题,采用基于矢量量化和隐马尔可夫模型(HMM)相结合的方法。   说话人识别的系统主要由语音特征矢量提取单元(前端处理)、训练单元、识别单元和后处理单元组成, -Commonly used methods of speaker recognition template matching method, statistical modeling method, and connection method (ie, artificial neural networks). Taking into account the amount of data, real-time as well as the recognition rate of the problem, based on vector quantization and Hidden Markov Model (HMM) method of combining. Speaker recognition system mainly by the voice feature vector extraction unit (front-end treatment), training modules, identification and post-treatment unit modules,
Platform: | Size: 64512 | Author: 孙丽 | Hits:

[Speech/Voice recognition/combineHMMforspeechrecogntion

Description: 一个可执行的HMM语音识别程序例程,实现了对10个数字音的识别程序,包含了HMM语音识别中的分段,MFCC特征提取,Baum-Welch训练,及Viterbi等算法,通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion.
Platform: | Size: 1179648 | Author: wh | Hits:

[AI-NN-PRHMM

Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition.
Platform: | Size: 52224 | Author: rupesh | Hits:

[Speech/Voice recognition/combineMFCCPHMM

Description: 本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用HMM分类器,作为对比实验是一个不错的选择。-This example the program matlab speech recognition program to extract MFCC feature set, the HMM classifier, as a comparative experiment is a good choice.
Platform: | Size: 24043520 | Author: lvchao | Hits:

[Graph Recognizehmm_matlab

Description: 基于隐马尔科夫模型HMM的人脸识别程序,使用Matlab编写,提取的人脸识别特征为DCT系数-it is face detection codes based on HMM Model ,you can run iton Matlab,the feature from face is DCT
Platform: | Size: 4028416 | Author: 王国盛 | Hits:

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