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[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: 1406163 | Author: 站长 | Hits:

[Other resourceyuyishibie

Description: 语音识别中的模型和算法:动态时间归正技术(DTW),隐马尔可夫模型(HMM),高斯混合模型(GMM),高斯混合模型(GMM)-Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM)
Platform: | Size: 12641 | Author: | 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。
Platform: | Size: 623907 | Author: 叶小勇 | Hits:

[Speech/Voice recognition/combinehmm-1.03.tar

Description: 语音识别中经典的HMM算法,包括产生序列、测试和参数训练,由C语言编写。- In speech recognition classical HMM algorithm, including has the sequence, the test and the parameter training, compiles by the C language.
Platform: | Size: 13312 | Author: | 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:

[Otheryuyishibie

Description: 语音识别中的模型和算法:动态时间归正技术(DTW),隐马尔可夫模型(HMM),高斯混合模型(GMM),高斯混合模型(GMM)-Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM)
Platform: | Size: 12288 | Author: | Hits:

[Speech/Voice recognition/combineSpeech-recognition.hmm

Description: 利用hmm的孤立字(词)语音识别系统,经典的算法,没有图形界面,需要的可以完善一下。-use hmm isolated words (words) speech recognition system, the classical algorithm, no graphical interface, need to be perfect in this.
Platform: | Size: 268288 | Author: 张维镇 | Hits:

[OtherSpeakerRecogntionBasedOnVQandGMM

Description: 本文完成了对唇动身份识别技术几个基本问题的理论研究,并对整个系统加以实现.作为本文研究的实验基础,我们建立了唇动方式身份识别数据库(HITLUDB), 该库目前包含30个说话人每人20个汉语词的音视频语料.数据库的扩充与完善工作仍在不断的进行之中.在嘴唇检测方面, 我们对自适应色度过滤模型进行改进,提高了算法的鲁棒性,完成了对嘴唇的精确定位.结合DCT变换与K-L变换的各自特点, 我们提出了特征提取算法,使用较少维数的特征完成了对嘴唇区域主要信息的刻画.由于唇动信息同时包含了生理特征与行为特征, 我们使用静念动念混合建模的方式,完成了对说话人唇动个性特点的精确描述.在HMM训练时,我们提出了特征的归一化处理方法,提高了HMM在实际应用中的性能. 最后,我们分别对身份辨认系统与身份确认系统的基本理论进行了叙述,并完成了系统的实践工作. 关  键  词:身份识别 唇动 特征提取 隐马尔可夫模型 K-L变换 -paper completed the lip movements identification technology several basic issues of theoretical study, system as a whole be achieved. As this paper, the experimental basis, We have established a dynamic manner lip identification database (HITLUDB) The library currently contains 30 words each of 20 Chinese words, sound and video corpus. and the expansion of the database is still perfect keep going on. Detection of the lips, we adaptive color filter model improvements, improve the robustness of the algorithm, completed a pair of lips the precise positioning. DCT combined with the K-L transform their own characteristics, We have proposed a feature extraction algorithm, use less dimension of the lips completed the main message of regional characterization. As the lip movements of information,
Platform: | Size: 5222400 | Author: QHLee | 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:

[OtherHMM

Description: 简单明了的HMM-GMM-KEAMS调用接口,C环境使用。-Simple HMM-GMM-KEAMS Call Interface, C environments.
Platform: | Size: 11264 | Author: 安安 | Hits:

[Speech/Voice recognition/combinesvmhmm

Description: svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature verification
Platform: | Size: 4217856 | Author: yqch | Hits:

[matlabmodel

Description: 利用matlab语言进行模型建立,包括GMM、HMM 等-set up models with matlab language ,the models contain GMM and HMM
Platform: | Size: 203776 | Author: 吴贤音 | Hits:

[Speech/Voice recognition/combinem

Description: 基于HMM或者GMM模型的说话人识别系统的实现及改进-Speaker recognition system based on HMM or GMM model and improvement
Platform: | Size: 5271552 | Author: yezhihua | Hits:

[matlabhmm

Description: 自己认真修改的程序代码,并且通过测试可以运行的!对HMM-GMM的初学者有用。-Own serious modify the program code, and the test can be run. HMM-GMM useful for beginners.
Platform: | Size: 655360 | Author: 孙乾 | Hits:

[matlabHMM_GMM

Description: 一个有效的,可以直接运行的HMM—GMM代码,而且带有语音数据。不存在任何障碍,值得初学者下载的浅显易懂的例子。-An effective, the HMM-GMM code that can be run directly, and with the voice data. There are no obstacles, beginners should download easy to understand examples.
Platform: | Size: 655360 | Author: 孙乾 | Hits:

[Speech/Voice recognition/combinespeaker-recognition-master

Description: example of speech processing to execute
Platform: | Size: 4096 | Author: aimi | Hits:

[Speech/Voice recognition/combineHMM-GMM

Description: 使用高斯混合模型和隐马尔科夫模型进行建模(Modeling using Gauss mixture model and hidden Markov model)
Platform: | Size: 3059712 | Author: dongkai1994 | Hits:

[OtherGMM-HMM-master

Description: GMM HMM()
Platform: | Size: 14431232 | Author: hongwei_006 | Hits:

[Windows DevelopHMM1

Description: 在VC6.0平台上进行编写的,包括隐马尔科夫模型(HMM)和混合高斯模型(GMM)在内的用于模板训练的算法。(The algorithm for template training is written on VC6.0 platform, including hidden Markov model (HMM) and mixed Gauss model (GMM).)
Platform: | Size: 4538368 | Author: hailey96 | Hits:

[matlabmfcc

Description: 通过语音识别对类型进行分类,使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
Platform: | Size: 293888 | Author: 范敏 | Hits:
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