搜索资源列表
maxent-2.4.0
- 基于统计的文本分析中,最为常用的最大熵算法,可直接调用,广泛用于词性标注,词义消岐等-based on statistical analysis of the text, the most commonly used of maximum entropy algorithm, can be called directly, widely used in tagging, Words such as Consumers qi
maxent-20041229[1].win32
- 文本分析中基于统计的方法中,最为常用的最大熵算法,该源码为Python版,广泛应用于词性标注,词义消岐等领域-text analysis based on statistical methods, the most commonly used of maximum entropy algorithm, the source code for Python version, widely used in tagging, Meaning Consumers divergent fields
StanfordClassifier.tar
- Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别，特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application.
endPointDetectionViaEntropy
- Robust Entropy-based Endpoint Detection for Speech Recognition in Noisy Environments
jin0530.rar
- 做毕业设计编写的基于谱熵端点检测的程序，欢迎分享,Designed to prepare graduates to do spectral entropy-based endpoint detection process, please share
VoiceSeperationML.rar
- 两路语音信号混合及解混的基于负熵的fastICA算法的MATLAB仿真实例,Two-way voice signals mixed and mixed solutions of negative entropy-based algorithm fastICA simulation of MATLAB
detection
- 基于倒谱，分形，和谱熵的语音端点检测程序，三个文件夹内对应三种程序-Cepstrum-based, fractal, and spectral entropy of speech endpoint detection procedures, the three folders corresponding to the three procedures
lzhang10-maxent-a139430.tar
- 基于最大熵原则利用样本信息生成概率估计 张乐博士 东北大学-Dr. Zhang Yue Northeastern University sample information generated probability estimates based on the principle of maximum entropy
subbandspectralentropy
- 基于子带频谱墒的语音端点检测程序,程序思路清晰易懂-Based on the sub-band spectrum entropy Speech Endpoint Detection procedures, procedures clear and understandable
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
amis-4.0.tar
- 基于最大熵开发的程序，能很好的解决分类问题，运行与linux下，可以直接调用-Based on Maximum Entropy developed procedures that can solve classification problems, running with linux, you can directly call
shangzhi
- 信息论与编码课程设计：基于概率论与编码熵值计算-Information Theory and Coding Course Design: Based on probability theory and calculation of entropy coding
maxent-20041229-linux-static.tar
- 基础的极大熵算法是分析研究，有利于初学者的分析研究！-Maximum entropy algorithm is based on analysis of
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
work
- 基于负熵的FASTICA的不动点算法，并行提取信号，独立分量分析-Based on negative entropy FASTICA the fixed point algorithm, parallel extract the signal, independent component analysis
2
- 基于自适应子带频谱熵的稳健性语音端点检测-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
11
- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250～ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
Chinese-phrase-structure-recognition
- 基于最大熵的汉语短语结构识别方法，来自计算机工程-自然语言处理方面，写得挺不错的-Chinese phrase structure recognition method based on maximum entropy, from the Computer Engineering- Natural Language Processing, write quite well.
bjjiinbaoma
- 一种基于自适应子带频谱熵的稳健性语音音端点检测，自己写的，希望对大家有帮助。 -A robustness of the voice tone endpoint detection based on adaptive sub-band spectral entropy, write your own, we hope to help.
work
- 对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy