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应用模式识别技术导论——人脸识别与语音识别
- 应用模式识别技术导论——人脸识别与语音识别-Introduction pattern recognition technology -- face recognition and voice recognition
2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
speech classification
- 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识-this is a HMM-based voice training from the source pattern HMM can understand how to do and how to capture parameter identification
patternidentifyhumanfaceandvoice
- 一个很好的模式识别应用书籍,介绍人脸识别以及语音识别的技术-a good pattern recognition applications books, introduced face recognition and voice recognition technology
oneline_sign_recognition
- 模式识别中的联机字符识别，包括联机手写数字识别和联机数字、英文字符及汉字识别算法实现源代码-pattern recognition of Character Recognition on-line, including on-line handwriting recognition and on-line digital figures English characters and character recognition algorithm source code
HTK3.4forWindows
- HTK3.4是由英国剑桥大学2006年12月推出的最新版本HMM Toolkit, 是世界上流传最广的强大的语音识别的开放源码。如果你遇到什么问题欢迎来http://asr.blog.hexun.com/留言。我们乐于讨论语音识别以及其他模式识别问题。-HTK3.4 from the University of Cambridge, England in December 2006 launched the latest version of HMM Tool kit, is the world
ma_by
- The Matlab functions and scr ipts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to
datasamp
- 是用于模式识别中的一种数据采样方法，此方法是把数据按一定的比例分为训练数据和测试数据。-for pattern recognition of a data sampling methods, This method is data by a certain percentage into training data and test data.
HTK-samples-3.4
- 隐马项目\\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识 -Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
exampleofbp
- 使用bp神经网络范例。bp神经网络可以用于模式识别等。我现在做得就是使用bp神经网络进行单个数字语音识别。希望对大家有用-use bp neural network model. Bp neural network can be used for pattern recognition. I now have done is to use a neural network bp single digital voice recognition. We hope to useful
endpoint
- 这是一段关于语音处理与识别的程序，包括预处理，端点检测，线性倒谱系数求解，并运用dtw算法进行模式匹配。-This is a speech processing and recognition on the program, including pretreatment, endpoint detection, linear cepstrum solution, and the use of dtw algorithm for pattern matching.
PRSLP
- 详细介绍了模式识别在语音识别中的应用，算法和方法等。-Detailed information on Pattern Recognition in Speech Recognition applications, algorithms and methods.
txt2wav
- 一个模式识别中聚类算法的实现，可用于语音识别的-Clustering of a pattern recognition algorithm can be used for speech recognition
20080229123745538
- 一个模式识别中聚类算法的实现，可用于语音识别的-Clustering of a pattern recognition algorithm can be used for speech recognition
dtw
- 动态时间规正算法，用于语音识别，模式匹配等，在matlab环境下使用-Dynamic time warping algorithm for speech recognition, pattern matching, etc., in the matlab environment
voicesimulate
- 能够对人人的声音进行识别，它是通过信号采集，用模式识别算法进行语音识别-Able to identify the voice of everyone, it is through the signal acquisition, use pattern recognition algorithm for speech recognition
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域，语音检测是必需的。对于自动语音识别，端点检测在分离重要语音信息时是必需的，这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
hmmtrain
- HMM模型，用C语言实现的，可以用于模式识别-HMM model, with the C language implementation, and can be used for pattern recognition
Pattern.Recognition.in.Speech.and.Language.Proces
- PATTERN RECOGNITION OF SPEECH USING MATLAB
Pattern-Recognition
- 西奥多里蒂斯著，李晶皎译 本书系统阐述了模式识别的原理与方法，并在此基础上介绍了模式识别的应用。全书分为：基础部分和应用部分：基础部分主要包括统计模式识别、模糊模式识别、神经网络模式识别等内容；应用部分有车牌识别和语音识别。 -This paper discussed the principles and methods of pattern recognition, and based on this, the application of pattern recognition. Enc