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[Voice Compressnewpnn[1]

Description: 基于GMM的概率神经网络PNN具有良好的泛化能力,快速的学习能力,易于在线更新,并具有统计学的贝叶斯估计理论基础,已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点,还具有许多GMM没有的优点,如强鲁棒性,需要更少的训练语料,可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.
Platform: | Size: 7168 | Author: 姜正茂 | Hits:

[Speech/Voice recognition/combinesvlib_pc

Description: This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
Platform: | Size: 1405952 | Author: 站长 | Hits:

[OtherSpeechRecognitionTextIndependentDSPbyQHLee

Description: 文本无关的说话人辨认系统的DSP实时实现 比较经典的研究生毕业论文-text-independent speaker recognition system to achieve real-time DSP classic comparison postgraduate thesis
Platform: | Size: 3811328 | Author: QHLee | Hits:

[Speech/Voice recognition/combineGMMM-UBM

Description: 毕业设计论文,相当好的,是语音识别方面的,GMM-UBM方面的--GMMM UBM 广播语种识别-Graduation project papers, very good is the voice identification, GMM-UBM area- GMMM UBM Broadcasting Language Recognition
Platform: | Size: 2503680 | Author: joly | Hits:

[Speech/Voice recognition/combineSpeakerIdentificationPaper

Description: 说话人识别方法及其系统的应用开发研究.毕业设计论文,详细.本文对说话人识别方法应用作了较深入系统的研究。采用的方法分别是矢量量化(VQ)识别方法、隐马尔可夫模型(HMM)识别方法、高斯混合模型(GMM)识别方法。-Speaker Recognition Method and system development and research. Graduate design thesis in detail. In this paper, methods of application of speaker recognition system were made more in-depth research. Methods used are vector quantization (VQ) identification methods, hidden Markov model (HMM) to identify methods, Gaussian mixture model (GMM) identification methods.
Platform: | Size: 623616 | Author: 叶小勇 | Hits:

[Speech/Voice recognition/combine0626GMMspeakerrecognition

Description: 基于 GMM的说话人辨认系统及其改进 -GMM-based Speaker Identification System and its improvement
Platform: | Size: 66560 | Author: 余洋 | Hits:

[Speech/Voice recognition/combinespeaker_identification

Description: 这是小弟在实验室做的说话人身份识别程序,采用MFCC参数提取,并建立GMM模型来进行识别。希望会对大家有帮助。-This is the boy in the laboratory to do the speaker identification procedure for the extraction of MFCC parameters and to establish GMM model to be identified. I hope everyone will help.
Platform: | Size: 380928 | Author: feng | Hits:

[Speech/Voice recognition/combine63535283MFCC

Description: 说话人识别和训练系统所用的很多源码,内容很详实,希望大家能用的上-Speaker Recognition and training system used by a lot of source code, content is very informative and hope that we can use the upper
Platform: | Size: 8192 | Author: 姜海鹏 | Hits:

[Othergmm

Description: 台湾张智星关于GMM的文档,很详细,做图像识别或说话人识别的对GMM有兴趣的话可以看一下-Zhang Zhi Star Taiwan GMM about the documents, in great detail, to do image recognition or speaker recognition of GMM are interested can look at
Platform: | Size: 195584 | Author: 董飞 | Hits:

[Communication-MobileGMM

Description: 使用GMM模式建立的语音识别系统,matlab源代码,供大家参考!-GMM model using the speech recognition system, matlab source code for your reference!
Platform: | Size: 1024 | Author: 王良 | Hits:

[Special EffectsGaussian.mixture.model.Method

Description: 高斯混合模型是單一高斯機率密度函數的延伸,由於GMM 能夠平滑地近似任意形狀的密度分佈,因此近年來常被用在語音與語者辨識,得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is often used in recent years in speech and speaker recognition, get good results.
Platform: | Size: 195584 | Author: geyu | Hits:

[Speech/Voice recognition/combineSpeakerRecognition

Description: Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
Platform: | Size: 560128 | Author: sam | Hits:

[Speech/Voice recognition/combineGMM

Description: :高斯混合模型(GMM)是一种经典的说话人识别算法,本文在实现其算法的同时,主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能,得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions under different noise Gaussian mixture model (GMM) of the Hang throat sound performance, and obtained some useful conclusions.
Platform: | Size: 119808 | Author: 于高 | Hits:

[DocumentsVersion7.1.5

Description: automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
Platform: | Size: 576512 | Author: vikram | Hits:

[Speech/Voice recognition/combineGMM

Description: GMM的说话人识别系统,识别效果90 多-GMM speaker recognition system, the recognition effect more than 90
Platform: | Size: 5560320 | Author: 竹竹 | Hits:

[Speech/Voice recognition/combineMFCC-GMM

Description: 基于MFCC的GMM的说话人识别,是很好的语音处理程序-MFCC of the GMM based speaker recognition, speech processing is a very good program
Platform: | Size: 1180672 | Author: 周钰川 | Hits:

[Graph Recognizespeaker

Description: 是基于matlab的语者识别系统。包括了预处理,mfcc,和gmm算法匹配。-Matlab-based speaker recognition system. Including the pretreatment, mfcc, and gmm algorithm match.
Platform: | Size: 224256 | Author: dtjtracy | Hits:

[Speech/Voice recognition/combineSpeakerRecognition

Description: speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
Platform: | Size: 3756032 | Author: midou54 | Hits:

[Speech/Voice recognition/combinespeaker-identification

Description: 基于MATLAB实现的DWT+GMM说话人识别,附带语料库和相关论文word版,毕设作品,详细且可运行!(MATLAB based DWT+GMM speaker recognition, incidental corpus and related papers word version, set up work, detailed and run!)
Platform: | Size: 11159552 | Author: vanirgod | Hits:

[matlab基于高斯混合模型(GMM)的说话人识别matlab

Description: 基于GMM的话者识别matlab程序,训练运行train.m,识别运行recog.m(speaker identification system based on GMM)
Platform: | Size: 2814976 | Author: Robin_JTH | Hits:
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