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: 12690 |
Author:张维镇 |
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Description: 语音识别（Speech Recognition）是让机器通过识别和理解过程把语音信号转变为相应的文本或命令的技术。在课题中，通过采用DTW（Dynamic time warping, 动态时间伸缩）算法，对实现孤立词的识别进行了初步探讨和研究，实现了在MATLAB软件环境下孤立词语的语音识别，并针对DTW的主要特点及不足做出了总结。-Speech Recognition (Speech Recognition) machines is through recognition and understanding of a process which put the voice signal into the corresponding text or command technology. The issue, through the use DTW (Dynamic time warping, dynamic time telescopic) algorithm to achieve an isolated word recognition conducted a preliminary exploration and study, the realization of the MATLAB software environment isolated words of Speech Recognition and DTW against the main features and deficiencies make summarized. Platform: |
Size: 116736 |
Author:序号 |
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Description: 想要一个简单的文字识别vc源代码，从黑白图像中识别出文字，就是背景是白色，文字是黑色。只需简单识别英文26个大小写字母就够了。 -want a simple character recognition vc source code, from black and white images to identify words, background is white, text is black. A simple identification English 26 case-insensitive enough. Platform: |
Size: 3072 |
Author:心剑 |
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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 |
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Description: 基于DTW方法的说话人识别程序，运用了LPCC参数和LPC参数的两者一起进行说话人身份的识别，有较好的识别效果。-DTW method based on the speaker identification procedures, LPCC Features use of the LPC parameters and the parameters of the two words together to identify the identity of the person, a better recognition. Platform: |
Size: 2048 |
Author:张生 |
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Description: 论文标题:自适应模糊系统在手写体数字识别中的应用研究
作者:张镭
作者专业:计算机软件人工智能
导师姓名:黄战
授予学位:硕士
授予单位:暨南大学
授予学位时间:19990501
论文页数:59页
文摘语种:中文文摘
分类号:TP18 TP391.4
关键词:手写体数字 自适应 模糊逻辑 神经网络 模式识别
摘要:该文针对模式识别的特点,构造了适合于模式识别问题的自适应模糊系统,对三种不同学习算法加以改进,在手写全数字识别上对分类器进行了实现,并与采用BP算法训练的三层前馈神经网络分类器相比较,分析其优劣.仿真实验表明,在该文的样本集条件下,自适应模糊分类吕的识别性能优于神经网络分类器,这充分体现了自适应模糊技术用于数字识别的优越性和潜力.-thesis entitled : adaptive fuzzy system in a handwritten numeral recognition of applied research Author : Zhang Lei professional author : artificial intelligence computer software instructor Name : Huang war conferred degrees : Master award units : Jinan University conferred degrees : 19990501 page thesis : Abstracts 59 languages : Chinese Digest Key words : TP18-image Keywords : handwritten digital adaptive fuzzy logic neural network pattern recognition Abstract : In this paper the characteristics of pattern recognition, suitable for the construction of adaptive pattern recognition fuzzy systems, three different learning algorithm to improve the handwriting recognition on digital classification of the device to achieve, BP and with a three-tiered training algorithm for neural network clas Platform: |
Size: 4194304 |
Author:成东 |
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Description: 英文类手写输入
用as3实现的。何以识别0-9,A-Z这些字。用鼠标在书写区写出文字，程序就能识别得到。-English handwriting input using AS3 Class achievable. Why the identification of 0-9, AZ these words. With the mouse to write text in the writing area, the program will be able to receive recognition. Platform: |
Size: 116736 |
Author: |
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Description: 语音识别的实现,一种基于孤立词.特定人的语音识别的算法.-The realization of speech recognition, based on isolated words. A particular person s speech recognition algorithms. Platform: |
Size: 167936 |
Author:chenfeng |
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Description: 在车辆牌照自动识别系统中,因自然因素或采
样因素使得原本规则的印刷体字符产生畸变,给字符识别带
来了很大困难。本文在特征抽取的基础上,采用BP网络进行
分类,并附加线性感知器来实现单字的有效识别。该方法算法
简便,识别率高,可适用于多种高噪声环境中的印刷体字符识
别。
-Vehicle license in the automatic identification system, the result of natural factors or sampling factors make the original rules of the print characters have a distortion, to the character recognition has led to great difficulties. In this paper, feature extraction, based on the BP network used for classification, and additional linear perceptron to realize the effective recognition of words. The method is simple algorithm, high recognition rate, applicable to a wide range of high-noise environments print character recognition. Platform: |
Size: 75776 |
Author:zoubinbin |
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Description: 一个基于DTW的的孤立词的语音识别系统，采用率为800，可以识别六个字左右的短语，是特定人的识别系统。运行时请更改工作目录：工程->设置->调试->更改工作目录即可-The DTW-based isolated word speech recognition system, using rate of 800, can identify words around the phrase, a specific person Platform: |
Size: 754688 |
Author:daiqinghu |
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Description: TTS.TTS是text-to-speech的缩写，英文也称Speech Synthesis即语音合成.
Microsoft Visual Studio2005+Windows2000/XP+ Microsoft Speech SDK 5.1+Microsoft Speech SDK 5.1 Language Pack
功能说明：
按课或级分类单词，用文件或数据库保存，用户可根据需要选择对应课或级别中的单词；
从文件或数据库中读取英文字符；
通过TTS完成文-本语音转换；
可在程序中设置不同的朗读者；
可调节语速、可暂停、可继续、可跳过、可调节音量；
有一定的帮助说明；
朗读口型的实现（选做）；-TTS.TTS is a text-to-speech abbreviation, English Speech Synthesis also known that the speech synthesis. Microsoft Visual Studio2005+ Windows2000/XP+ Microsoft Speech SDK 5.1+ Microsoft Speech SDK 5.1 Language Pack Function Description: Classification by classes or class word with preservation of documents or database, the user can choose according to the corresponding class or classes of words from file or database read English characters through TTS complete text- the voice conversion can set up different procedures were read aloud can Speed regulation can be suspended, you may continue to be skipped, adjustable volume will certainly help with that read the mouth-type realization of (the election to do so) Platform: |
Size: 359424 |
Author:张许 |
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Description: In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector. - In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector. Platform: |
Size: 199680 |
Author:prasad |
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Description: The speech signal contains rich messages, and three main recognition fields from speech signal, which are of most interest and have been studied for several decades, are speech recognition, language recognition and speaker recognition. In this the focus is on speech recognition field. In our everyday lives there are many forms of communication, for instance: body language, textual language, pictorial language and speech, etc. However amongst those forms speech is always regarded as the most powerful form because of its rich dimensions character. Except for the speech text (words), the rich dimensions also refer as the gender, attitude, emotion, health situation and identity of a speaker. Such information is very important for an effective communication. From the signal processing point of view, speech can be characterized in terms of the signal carrying message information. The waveform could be one of the representations of speech, and this kind of signal has been most useful in practical applications. Platform: |
Size: 3072 |
Author:kinny garg |
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Description: 声音识别，不同说话人说123456789，然后通过程序编写辨认出来-Voice recognition, 123,456,789 people say different words, and then prepared to identify them through the process Platform: |
Size: 3505152 |
Author:美杏 |
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Description: Hidden Markov Models (HMM) have been used with
some success in recognizing printed Arabic words. In this
paper, a complete scheme for totally unconstrained
Arabic handwritten word recognition based on a Model
discriminant HMM is presented. A complete system able
to classify Arabic-Handwritten words of one hundred
different writers is proposed and discussed. The system
first attempts to remove Platform: |
Size: 52224 |
Author:ammar |
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Description: 该文介绍了我们基于 m 删 模 型语音信号识别原理开发的连续数字音识别软件包及其程序实 现 。-this WenJie shaoxing us based on m delete mode of speech signal the principle of general don t open a few words sound hair general don t software package and its program real now Platform: |
Size: 159744 |
Author:薛莉 |
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Description: 基于bag of visual words 模型的人脸二分类代码，使用plsa等两种模式进行分类-Bag of visual words ,face recognition ,plsa Platform: |
Size: 359424 |
Author:ryetal |
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Description: 一张车的照片进行车牌分割、字符分割后，最后运用KNN算法进行字符识别。(A car photo license plate segmentation, character segmentation, the last use of KNN algorithm for character recognition.) Platform: |
Size: 3070976 |
Author:AYN1
|
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Search - words recognition