Description: 语音识别的原理和应用以及语音系统的提高等知识-Fundamentals of voice recognition and its applications. And some knowledge about enhancement of voice system or so. Platform: |
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Author:sff |
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Description: 在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM Platform: |
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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MATLAB平台开发的语音合成以及识别软件,效果很理想啊!大家快下啊!-development platform based on MATLAB synthesis and voice recognition software, the effect is very good ah! Members Express under ah! Platform: |
Size: 756736 |
Author:陈天 |
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Description: HMM模型的MATLAB实现,HMM模型是语音识别方面一个重要的技术手段-HMM in MATLAB, HMM Speech Recognition is an important area of technical means Platform: |
Size: 164864 |
Author:唐盛 |
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Description: 在MATLAB环境下实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统。-In the MATLAB environment to achieve a row-based Markov model implied probability density of Chinese speech recognition system. Platform: |
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Author:tutu |
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Description: 基于HMM的语音识别的资料,希望对大家有所帮助。-HMM-based speech recognition information, and they hope to be helpful to everyone. Platform: |
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Author:黄卓芬 |
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Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Author:宋小小 |
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Description: hmm详细的介绍和应用,讲得很好!有hmm的基本介绍和hmm在语音识别方面的应用-hmm detailed introduction and applications, very well! Hmm there is a basic introduction and hmm in speech recognition applications Platform: |
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Author:阿才 |
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Description: speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b] Platform: |
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Author:kani |
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Description: hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序;mfcc.m是计算MFCC参数的程序;pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率;mixture.m是计算观察向量对于某个HMM状态的输出概率,也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合;getparam.m函数是计算前向概率、后向概率、标定系数等参数;viterbi.m是实现Viterbi算法;baum.m是实现Baum-Welch算法;inithmm.m是初始化参数;train.m是训练程序;main.m是训练程序的脚本文件;recog.m是识别程序。-hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures. Platform: |
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Author:于军 |
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Description: 语音识别技术的最终目标是要让计算机能与人自由交谈。目前,连续语音识别技术正趋于成熟,语音识别也延伸出了诸多实用化的研究方向。今后,语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科,语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。-The ultimate goal of speech recognition technology is to make computers and allowing others to speak freely. At present, continuous speech recognition technology is maturing, voice recognition is also extended out a lot of practical research directions. In the future, speech recognition will focus on Spontaneous Speech Recognition and Understanding, real-time speech recognition and speech recognition robustness and so on. As an interdisciplinary subject, speech recognition technology involved in a signal processing, pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence. Platform: |
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Author:吴斌 |
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Description: MATLAB编写的语音识别算法,中间有详细的代码注释,便于大家交流-Speech recognition algorithm written in MATLAB, the middle of a detailed code comments, easy to share Platform: |
Size: 329728 |
Author:zhou |
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Description: 关于HMM入门、HMM在语音识别中应用的一些经典资料和Matlab实现代码,包含中文资料-Getting Started on the HMM, HMM in speech recognition applications to achieve some of the classic data and Matlab code that contains the Chinese data Platform: |
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Author:刘风 |
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Description: 在MATLAB 环境下利用语音工具箱Voice Box 实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统-Using Voice- Box a mandarin speech recognition system is realized based on CDHMM in MATLAB environment. Platform: |
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Author:江丰安迪 |
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