Description: 实现了精简的FFT语音压缩 采取了一种新的算法有一定的参考价值-Implementation of speech compress used by simplified FFT algorithm.It is a new one,and useful to you. Platform: |
Size: 172032 |
Author:公积金 |
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Description: HMM的java代码，试过了挺好用，可以用于视频图像或者语音中，需自己研究一下。-HMM s java code, tried to use very good, can be used for video image or voice, there is a need to look at themselves. Platform: |
Size: 5120 |
Author:laoji |
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Description: 一个隐马尔科夫模型工具包,可以用来做科学问题研究.-A Hidden Markov Model Toolkit can be used to make scientific studies. Platform: |
Size: 122880 |
Author:张张 |
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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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Size: 2658304 |
Author:宋小小 |
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Description: Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descriptions of a sequence family s consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence analysis.-Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descriptions of a sequence family' s consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence analysis. Platform: |
Size: 1025024 |
Author:nonobo |
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Description: 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 Platform: |
Size: 5120 |
Author:韩磊 |
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Description: 多序列hmm模型代码，用于隐马尔科夫双观察序列的问题，例子是指硬币，c++实现-Multiple sequence hmm model code for the hidden Markov sequence of pairs of observed problems, examples refers to the coins, c++ implementation Platform: |
Size: 239616 |
Author:阿斯顿 |
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Description: HMMC代码实现，可以给些ANN辅助实现方面的参考意见啊-HMMC code implementation, can give some support to achieve aspects of ANN inputs to ah Platform: |
Size: 28672 |
Author:陆雨 |
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Description: UGENE is a free cross-platform genome analysis suite.
Main features:
Multiple sequence alignment using MUSCLE 3,4 and KAlign
HMM profiles build and search, based on the source of HMMER 2 and HMMER 3
PCR Primers design using Primer 3
Protein secondary structure prediction using GOR IV and PSIPRED
Phylogenetic analysis with Phylip
Search for restriction enzymes and integration with REBASE
Extremely fast repeat finder
DNA reference assembly using Bowtie
Search for transcription factor binding sites using SITECON
Protein back translation
ORF finder
Complete Smith-Waterman algorithm implementation
Comparing genomes using dotplot view.
-UGENE is a free cross-platform genome analysis suite.
Main features:
Multiple sequence alignment using MUSCLE 3,4 and KAlign
HMM profiles build and search, based on the source of HMMER 2 and HMMER 3
PCR Primers design using Primer 3
Protein secondary structure prediction using GOR IV and PSIPRED
Phylogenetic analysis with Phylip
Search for restriction enzymes and integration with REBASE
Extremely fast repeat finder
DNA reference assembly using Bowtie
Search for transcription factor binding sites using SITECON
Protein back translation
ORF finder
Complete Smith-Waterman algorithm implementation
Comparing genomes using dotplot view.
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Size: 12673024 |
Author:baaaa |
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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: |
Size: 538624 |
Author:于军 |
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Description: 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。
端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测
特征参数提取：LPCC和MFCC
参数模板存储：HMM和N_Gram
识别阶段：DWT
各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologies. Endpoint Detection: Based on the average short-term energy and zero crossing rate short-term endpoint detection Cepstrum-based endpoint detection feature extraction: LPCC and MFCC parameter template is stored: HMM and N_Gram recognition phase: DWT-related technologies offer the various stages of described in detail, is absolutely a good thing! Platform: |
Size: 8296448 |
Author:断剑 |
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Description: c++实现的hmm基本算法，有注释，简单易懂。-hmm c++ implementation of the basic algorithm, with annotations, easy to understand. Platform: |
Size: 1024 |
Author:yanyu |
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Description: HMM 模型（人们所观察到的事件往往并不是与状态一一对应，而是通过一组概率相联系）的C语言实现-HMM model (the event that people are often not observed in correspondence with the state, but linked through a set of probability) of the C language Platform: |
Size: 8192 |
Author:pan |
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Description: 一个HMM的Matlab实现方法，可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved Platform: |
Size: 818176 |
Author:陈子秋 |
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Search - hmm implementation