Description: Hidden Markov Toolkit (HTK) 3.2.1
HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).-Hidden Markov Toolkit (HTK) 3.2.1 HTK is a t OOLKIT for use in research into automatic speec h recognition and has been developed by the Spee ch Vision Robotics Group at the Cambridge Korea adequate Engineering Department (http :// SVR- www.eng.cam.ac.uk) and Entropic Ltd. (h Miller :// www.entropic.com). Platform: |
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Author:mesu |
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Description: 自动语音识别源码对非特定人的孤立词语音识别算法
进行研究。考虑到语音识别技术在嵌入式系统处理能力较弱、存储空间有限的问
题上进行算法的选择和优化，以提高系统的鲁棒性，减少系统的
-Automatic speech recognition source code for non-specific human isolated word speech recognition algorithm research. Taking into account the voice recognition technology in the embedded systems processing capacity is weak, with limited storage space on the issue of algorithm selection and optimization, to improve system robustness, reduce system Platform: |
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Author:cq |
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Description: 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, voice detection is essential. For automatic speech recognition, endpoint detection important voice in the separation when the information is necessary, so that could have a voice pattern or voice template. Platform: |
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Author:candy |
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Description: 在语音识别系统中，端点检测的目的是要区分语音段和非语音段 ,它在自动语音识别中起着关键作用-In speech recognition systems, the purpose of endpoint detection is to distinguish between voice and non-voice segment, which in automatic speech recognition plays a key role Platform: |
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Author:小英 |
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Description: Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a particular speaker - as is the case for most desktop recognition software, hence there is an element of speaker recognition, which attempts to identify the person speaking, to better recognize what is being said. Speech recognition is a broad term which means it can recognize almost anybody s speech - such as a call-centre system designed to recognize many voices. Voice recognition is a system trained to a particular user, where it recognizes their speech based on their unique vocal sound. Platform: |
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Author:Devilly |
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Description: 这个是有关于语音识别的的书籍，上面有很多基本原理和MATLAB的例子-This is a reference book for automatic speech recognition with matlab codes. Platform: |
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Author:zhengjingkai |
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Description: 车牌自动识别的程序，只能定位车牌，截取车牌，正确率80 。-Automatic license plate recognition program, can only target plate, the interception of license plate, the correct rate of 80 . Platform: |
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Author:lili |
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Description: 一个统计语言识别系统一般采用移自动语言识别三角洲系数（议会）功能。学童牙科保健服务堆叠比例系数的几帧三角洲的版本。
南区区议会及其应用的详细描述可在西医坎贝尔先生，J.P.坎贝尔，D.A.雷诺，大肠杆菌歌手，年息托雷斯- Carrasquillo，扬声器和语言识别，计算机语音和语言，第20卷，问题2-3，奥德赛2004支持向量机：演讲者与语言识别工作坊 -奥德赛- 04，四月至2006年7月，页210-229。
此代码是一个快速实现移三角洲系数（在MATLAB）。-
A statistical language recognition system generally uses shifted delta coefficient (SDC) feature for automatic language recognition. SDCs are stacked version of delta cofficient over several frames.
The detail descriptions of SDC and its applications are available in W.M. Campbell, J.P. Campbell, D.A. Reynolds, E. Singer, P.A. Torres-Carrasquillo, Support vector machines for speaker and language recognition, Computer Speech & Language, Volume 20, Issues 2-3, Odyssey 2004: The speaker and Language Recognition Workshop- Odyssey-04, April-July 2006, Pages 210-229.
This code is a fast implementation (in MATLAB) of Shifted Delta Coefficient. Platform: |
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Author:zzskzcau |
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Description: 鲁棒性好，性能优越，在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统。- Robustness, superior performance, Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system. Platform: |
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Author:罗济石 |
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Description: 在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统，基于欧几里得距离的聚类分析。- Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system, Clustering analysis based on Euclidean distance. Platform: |
Size: 4096 |
Author:fang |
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Description: 完整的基于HMM的语音识别系统，在matlab环境中自动识别连通区域的大小,利用最小二乘算法实现对三维平面的拟合。- Complete HMM-based speech recognition system, Automatic identification in the matlab environment the size of the connected area, Least-squares algorithm to fit a three-dimensional plane. Platform: |
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Author:jtgdp |
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Description: 在matlab环境中自动识别连通区域的大小,通过反复训练模板能有较高的识别率，语音信号的采集与处理，数字信号处理课设。- Automatic identification in the matlab environment the size of the connected area, Through repeated training TNkAiUSlate have higher recognition rate, Acquisition and Processing of the speech signal, digital signal processing class-based. Platform: |
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Author:tengaikun |
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
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Author:糖糖的小糖
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Description: BP神经网络基本原理概述：这种网络模型利用误差反向传播训练算法模型，能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题，它的特点是信号前向传播、误差反向传播，简称BP（Back Propagation）神经网络。BP学习算法的基本原理是梯度最快下降法，即通过调整权值使网络总误差最小，在信号前向传播阶段，输入信号经输入层处理再经隐含层处理最后传向输出层处理；在误差反向传播阶段，将输出层输出的信号值与期望输出信号值比较得到误差，若误差较大则把误差信号传回隐含层直至输入层，在各层神经元中使用误差信号修改权值系数，之后进入下一轮迭代，如此循环直至误差最小，实际输出信号值接近期望输出信号值。下图为三层BP神经网络模型：(In pattern recognition, there is a highly practical classification method, which is artificial neural network. It has been successfully applied to intelligent robot, automatic control, speech recognition, prediction estimation, biology, medicine, economy and other fields. It has solved many practical problems which are difficult to solve by many other classification methods. This is due to the many models of neural network, and the corresponding neural network model can be used for different problems. The BP neural network is used to solve the problem of handwritten digital character recognition.) Platform: |
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Author:13922237309 |
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